diff --git a/articles/TenX_data_download.html b/articles/TenX_data_download.html index 6eb9975b..2553d940 100644 --- a/articles/TenX_data_download.html +++ b/articles/TenX_data_download.html @@ -534,8 +534,8 @@

From Gencode## Show the GTF cache location gtf_cache -#> BFC4 -#> "/github/home/.cache/R/BiocFileCache/115bd44112e_gencode.v32.annotation.gtf.gz" +#> BFC4 +#> "/github/home/.cache/R/BiocFileCache/11591564e576_gencode.v32.annotation.gtf.gz" ## Import into R (takes ~1 min) gtf <- rtracklayer::import(gtf_cache) @@ -821,11 +821,11 @@

Wrapper functions= c("lowres", "hires", "detected", "aligned"), load = TRUE, reference_gtf = gtf_cache ) -#> 2024-04-05 20:02:32.904704 SpatialExperiment::read10xVisium: reading basic data from SpaceRanger -#> 2024-04-05 20:02:44.314472 read10xVisiumAnalysis: reading analysis output from SpaceRanger -#> 2024-04-05 20:02:45.391419 add10xVisiumAnalysis: adding analysis output from SpaceRanger -#> 2024-04-05 20:02:45.648326 rtracklayer::import: reading the reference GTF file -#> 2024-04-05 20:03:12.886584 adding gene information to the SPE object +#> 2024-04-05 20:04:46.379983 SpatialExperiment::read10xVisium: reading basic data from SpaceRanger +#> 2024-04-05 20:04:57.746735 read10xVisiumAnalysis: reading analysis output from SpaceRanger +#> 2024-04-05 20:04:58.777167 add10xVisiumAnalysis: adding analysis output from SpaceRanger +#> 2024-04-05 20:04:59.029908 rtracklayer::import: reading the reference GTF file +#> 2024-04-05 20:05:25.977095 adding gene information to the SPE object #> Warning: Gene IDs did not match. This typically happens when you are not using #> the same GTF file as the one that was used by SpaceRanger. For example, one #> file uses GENCODE IDs and the other one ENSEMBL IDs. read10xVisiumWrapper() @@ -833,7 +833,7 @@

Wrapper functions#> Warning: Dropping 29 out of 36601 genes for which we don't have information on #> the reference GTF file. This typically happens when you are not using the same #> GTF file as the one that was used by SpaceRanger. -#> 2024-04-05 20:03:14.501659 adding information used by spatialLIBD +#> 2024-04-05 20:05:27.439796 adding information used by spatialLIBD
 ## Run our shiny app
 if (interactive()) {
@@ -1117,9 +1117,9 @@ 

Reproducibilitylibrary("knitr") knit("TenX_data_download.Rmd", tangle = TRUE)

Date the vignette was generated.

-
#> [1] "2024-04-05 20:03:15 UTC"
+
#> [1] "2024-04-05 20:05:28 UTC"

Wallclock time spent generating the vignette.

-
#> Time difference of 1.835 mins
+
#> Time difference of 1.781 mins

R session information.

#> ─ Session info ───────────────────────────────────────────────────────────────────────────────────────────────────────
 #>  setting  value
diff --git a/articles/guide_to_spatial_registration.html b/articles/guide_to_spatial_registration.html
index aa00efd9..f76bb9ca 100644
--- a/articles/guide_to_spatial_registration.html
+++ b/articles/guide_to_spatial_registration.html
@@ -287,7 +287,7 @@ 

Spatial Reference
 ## get reference layer enrichment statistics
 layer_modeling_results <- fetch_data(type = "modeling_results")
-#> 2024-04-05 20:03:35.646963 loading file /github/home/.cache/R/BiocFileCache/115b8f49cdc_Human_DLPFC_Visium_modeling_results.Rdata%3Fdl%3D1
+#> 2024-04-05 20:05:47.05775 loading file /github/home/.cache/R/BiocFileCache/11592b032277_Human_DLPFC_Visium_modeling_results.Rdata%3Fdl%3D1
 
 layer_modeling_results$enrichment[1:5, 1:5]
 #>    t_stat_WM t_stat_Layer1 t_stat_Layer2 t_stat_Layer3 t_stat_Layer4
@@ -389,18 +389,18 @@ 

Get Enrichment statistics gene_ensembl = "gene_id", gene_name = "gene_name" ) -#> 2024-04-05 20:03:44.044615 make pseudobulk object -#> 2024-04-05 20:03:45.77245 dropping 13 pseudo-bulked samples that are below 'min_ncells'. -#> 2024-04-05 20:03:45.837703 drop lowly expressed genes -#> 2024-04-05 20:03:46.04581 normalize expression -#> 2024-04-05 20:03:47.566531 create model matrix -#> 2024-04-05 20:03:47.590973 run duplicateCorrelation() -#> 2024-04-05 20:04:01.210979 The estimated correlation is: 0.138734774807097 -#> 2024-04-05 20:04:01.213617 computing enrichment statistics -#> 2024-04-05 20:04:02.326306 extract and reformat enrichment results -#> 2024-04-05 20:04:02.380851 running the baseline pairwise model -#> 2024-04-05 20:04:02.544554 computing pairwise statistics -#> 2024-04-05 20:04:03.882273 computing F-statistics

+#> 2024-04-05 20:05:54.605212 make pseudobulk object +#> 2024-04-05 20:05:56.27116 dropping 13 pseudo-bulked samples that are below 'min_ncells'. +#> 2024-04-05 20:05:56.330158 drop lowly expressed genes +#> 2024-04-05 20:05:56.50757 normalize expression +#> 2024-04-05 20:05:57.954918 create model matrix +#> 2024-04-05 20:05:57.979144 run duplicateCorrelation() +#> 2024-04-05 20:06:11.317145 The estimated correlation is: 0.138734774807097 +#> 2024-04-05 20:06:11.319783 computing enrichment statistics +#> 2024-04-05 20:06:12.414152 extract and reformat enrichment results +#> 2024-04-05 20:06:12.466076 running the baseline pairwise model +#> 2024-04-05 20:06:12.622605 computing pairwise statistics +#> 2024-04-05 20:06:13.930996 computing F-statistics

Extract Enrichment t-statistics @@ -560,9 +560,9 @@

Reproducibilitylibrary("knitr") knit("guide_to_spatial_registration.Rmd", tangle = TRUE)

Date the vignette was generated.

-
#> [1] "2024-04-05 20:04:05 UTC"
+
#> [1] "2024-04-05 20:06:15 UTC"

Wallclock time spent generating the vignette.

-
#> Time difference of 43.483 secs
+
#> Time difference of 40.931 secs

R session information.

#> ─ Session info ───────────────────────────────────────────────────────────────────────────────────────────────────────
 #>  setting  value
diff --git a/articles/multi_gene_plots.html b/articles/multi_gene_plots.html
index 27931b7e..74d2934a 100644
--- a/articles/multi_gene_plots.html
+++ b/articles/multi_gene_plots.html
@@ -197,9 +197,9 @@ 

Plotting One Gene
 modeling_results <- fetch_data(type = "modeling_results")
-#> 2024-04-05 20:04:30.284402 loading file /github/home/.cache/R/BiocFileCache/115b8f49cdc_Human_DLPFC_Visium_modeling_results.Rdata%3Fdl%3D1
+#> 2024-04-05 20:06:38.485929 loading file /github/home/.cache/R/BiocFileCache/11592b032277_Human_DLPFC_Visium_modeling_results.Rdata%3Fdl%3D1
 sce_layer <- fetch_data(type = "sce_layer")
-#> 2024-04-05 20:04:31.219687 loading file /github/home/.cache/R/BiocFileCache/115b535c40f9_Human_DLPFC_Visium_processedData_sce_scran_sce_layer_spatialLIBD.Rdata%3Fdl%3D1
+#> 2024-04-05 20:06:39.406176 loading file /github/home/.cache/R/BiocFileCache/11597ad98e84_Human_DLPFC_Visium_processedData_sce_scran_sce_layer_spatialLIBD.Rdata%3Fdl%3D1
 sig_genes <- sig_genes_extract_all(
     n = 400,
     modeling_results = modeling_results,
@@ -423,9 +423,9 @@ 

Reproducibilitylibrary("knitr") knit("multi_gene_plots.Rmd", tangle = TRUE)

Date the vignette was generated.

-
#> [1] "2024-04-05 20:04:47 UTC"
+
#> [1] "2024-04-05 20:06:55 UTC"

Wallclock time spent generating the vignette.

-
#> Time difference of 39.255 secs
+
#> Time difference of 36.951 secs

R session information.

#> ─ Session info ───────────────────────────────────────────────────────────────────────────────────────────────────────
 #>  setting  value
diff --git a/articles/spatialLIBD.html b/articles/spatialLIBD.html
index dcc310bf..cb683ee7 100644
--- a/articles/spatialLIBD.html
+++ b/articles/spatialLIBD.html
@@ -417,7 +417,7 @@ 

Downloading the data with s
 ## Download the small example sce data
 sce <- fetch_data(type = "sce_example", eh = ehub)
-#> 2024-04-05 20:05:04.934901 loading file /github/home/.cache/R/BiocFileCache/115b61b09481_sce_sub_for_vignette.Rdata%3Fdl%3D1
+#> 2024-04-05 20:07:11.47321 loading file /github/home/.cache/R/BiocFileCache/11593b8b56cb_sce_sub_for_vignette.Rdata%3Fdl%3D1
 
 ## Convert to a SpatialExperiment object
 spe <- sce_to_spe(sce)
@@ -429,9 +429,9 @@ 

Downloading the data with s ## Query ExperimentHub and download the data if (!exists("sce_layer")) sce_layer <- fetch_data(type = "sce_layer", eh = ehub) -#> 2024-04-05 20:05:10.000395 loading file /github/home/.cache/R/BiocFileCache/115b535c40f9_Human_DLPFC_Visium_processedData_sce_scran_sce_layer_spatialLIBD.Rdata%3Fdl%3D1 +#> 2024-04-05 20:07:15.965327 loading file /github/home/.cache/R/BiocFileCache/11597ad98e84_Human_DLPFC_Visium_processedData_sce_scran_sce_layer_spatialLIBD.Rdata%3Fdl%3D1 modeling_results <- fetch_data("modeling_results", eh = ehub) -#> 2024-04-05 20:05:10.464419 loading file /github/home/.cache/R/BiocFileCache/115b8f49cdc_Human_DLPFC_Visium_modeling_results.Rdata%3Fdl%3D1

+#> 2024-04-05 20:07:16.409124 loading file /github/home/.cache/R/BiocFileCache/11592b032277_Human_DLPFC_Visium_modeling_results.Rdata%3Fdl%3D1

Once you have downloaded the objects, we can explore them a little bit

@@ -504,7 +504,7 @@ 

Downloading the data with s ) ) #> user system elapsed -#> 10.379 0.392 10.796 +#> 9.855 0.432 10.306 ## Explore the result class(sig_genes) @@ -1380,9 +1380,9 @@

Reproducibilitylibrary("knitr") knit("spatialLIBD.Rmd", tangle = TRUE)

Date the vignette was generated.

-
#> [1] "2024-04-05 20:05:28 UTC"
+
#> [1] "2024-04-05 20:07:34 UTC"

Wallclock time spent generating the vignette.

-
#> Time difference of 37.365 secs
+
#> Time difference of 35.419 secs

R session information.

#> ─ Session info ───────────────────────────────────────────────────────────────────────────────────────────────────────
 #>  setting  value
diff --git a/pkgdown.yml b/pkgdown.yml
index 3bec5fcf..cee0dc65 100644
--- a/pkgdown.yml
+++ b/pkgdown.yml
@@ -6,5 +6,5 @@ articles:
   guide_to_spatial_registration: guide_to_spatial_registration.html
   multi_gene_plots: multi_gene_plots.html
   spatialLIBD: spatialLIBD.html
-last_built: 2024-04-05T19:55Z
+last_built: 2024-04-05T19:58Z
 
diff --git a/reference/add_images.html b/reference/add_images.html
index 3fc6a98b..3f3acdb1 100644
--- a/reference/add_images.html
+++ b/reference/add_images.html
@@ -165,29 +165,29 @@ 

Examples

image_paths = c("151507" = "https://spatial-dlpfc.s3.us-east-2.amazonaws.com/images/151507_tissue_lowres_image.png") )) } -#> 2024-04-05 19:56:00.815708 loading file /github/home/.cache/R/BiocFileCache/155f35c91424_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1 -#> 2024-04-05 19:56:16.858507 adding image for sample 151507 -#> 2024-04-05 19:56:17.596445 adding image for sample 151508 +#> 2024-04-05 19:58:24.996743 loading file /github/home/.cache/R/BiocFileCache/155f98a302_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1 +#> 2024-04-05 19:58:40.609337 adding image for sample 151507 +#> 2024-04-05 19:58:41.338532 adding image for sample 151508 #> Warning: No image was found for sample: 151508 -#> 2024-04-05 19:56:17.596802 adding image for sample 151509 +#> 2024-04-05 19:58:41.338855 adding image for sample 151509 #> Warning: No image was found for sample: 151509 -#> 2024-04-05 19:56:17.597018 adding image for sample 151510 +#> 2024-04-05 19:58:41.339072 adding image for sample 151510 #> Warning: No image was found for sample: 151510 -#> 2024-04-05 19:56:17.597227 adding image for sample 151669 +#> 2024-04-05 19:58:41.339273 adding image for sample 151669 #> Warning: No image was found for sample: 151669 -#> 2024-04-05 19:56:17.597427 adding image for sample 151670 +#> 2024-04-05 19:58:41.339472 adding image for sample 151670 #> Warning: No image was found for sample: 151670 -#> 2024-04-05 19:56:17.597618 adding image for sample 151671 +#> 2024-04-05 19:58:41.339661 adding image for sample 151671 #> Warning: No image was found for sample: 151671 -#> 2024-04-05 19:56:17.597811 adding image for sample 151672 +#> 2024-04-05 19:58:41.339851 adding image for sample 151672 #> Warning: No image was found for sample: 151672 -#> 2024-04-05 19:56:17.598019 adding image for sample 151673 +#> 2024-04-05 19:58:41.340041 adding image for sample 151673 #> Warning: No image was found for sample: 151673 -#> 2024-04-05 19:56:17.598216 adding image for sample 151674 +#> 2024-04-05 19:58:41.340232 adding image for sample 151674 #> Warning: No image was found for sample: 151674 -#> 2024-04-05 19:56:17.598415 adding image for sample 151675 +#> 2024-04-05 19:58:41.340424 adding image for sample 151675 #> Warning: No image was found for sample: 151675 -#> 2024-04-05 19:56:17.598611 adding image for sample 151676 +#> 2024-04-05 19:58:41.340619 adding image for sample 151676 #> Warning: No image was found for sample: 151676 #> DataFrame with 13 rows and 4 columns #> sample_id image_id data scaleFactor diff --git a/reference/add_key.html b/reference/add_key.html index cd74003f..52f8800e 100644 --- a/reference/add_key.html +++ b/reference/add_key.html @@ -117,7 +117,7 @@

Examples

## Note that the original 'key' order was 'sample_id'_'barcode' and we' ## have since changed it to 'barcode'_'sample_id'. } -#> 2024-04-05 19:56:19.867929 loading file /github/home/.cache/R/BiocFileCache/155f35c91424_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1 +#> 2024-04-05 19:58:43.40326 loading file /github/home/.cache/R/BiocFileCache/155f98a302_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1 #> [1] "AAACAACGAATAGTTC-1_151507" "AAACAAGTATCTCCCA-1_151507" #> [3] "AAACAATCTACTAGCA-1_151507" "AAACACCAATAACTGC-1_151507" #> [5] "AAACAGCTTTCAGAAG-1_151507" "AAACAGGGTCTATATT-1_151507" diff --git a/reference/annotate_registered_clusters.html b/reference/annotate_registered_clusters.html index f079984c..04d383e3 100644 --- a/reference/annotate_registered_clusters.html +++ b/reference/annotate_registered_clusters.html @@ -139,7 +139,7 @@

Examples

if (!exists("modeling_results")) { modeling_results <- fetch_data(type = "modeling_results") } -#> 2024-04-05 19:56:34.592433 loading file /github/home/.cache/R/BiocFileCache/115b8f49cdc_Human_DLPFC_Visium_modeling_results.Rdata%3Fdl%3D1 +#> 2024-04-05 19:58:57.92285 loading file /github/home/.cache/R/BiocFileCache/11592b032277_Human_DLPFC_Visium_modeling_results.Rdata%3Fdl%3D1 ## Compute the correlations cor_stats_layer <- layer_stat_cor( diff --git a/reference/check_modeling_results.html b/reference/check_modeling_results.html index 4a34e9a7..ceb0500b 100644 --- a/reference/check_modeling_results.html +++ b/reference/check_modeling_results.html @@ -108,7 +108,7 @@

Examples

if (!exists("modeling_results")) { modeling_results <- fetch_data(type = "modeling_results") } -#> 2024-04-05 19:56:35.589126 loading file /github/home/.cache/R/BiocFileCache/115b8f49cdc_Human_DLPFC_Visium_modeling_results.Rdata%3Fdl%3D1 +#> 2024-04-05 19:58:58.831466 loading file /github/home/.cache/R/BiocFileCache/11592b032277_Human_DLPFC_Visium_modeling_results.Rdata%3Fdl%3D1 ## Check the object xx <- check_modeling_results(modeling_results) diff --git a/reference/check_sce.html b/reference/check_sce.html index a97039a3..b52ee553 100644 --- a/reference/check_sce.html +++ b/reference/check_sce.html @@ -131,7 +131,7 @@

Examples

## Check the object check_sce(sce_example) } -#> 2024-04-05 19:56:36.643689 loading file /github/home/.cache/R/BiocFileCache/115b61b09481_sce_sub_for_vignette.Rdata%3Fdl%3D1 +#> 2024-04-05 19:58:59.752855 loading file /github/home/.cache/R/BiocFileCache/11593b8b56cb_sce_sub_for_vignette.Rdata%3Fdl%3D1 #> class: SingleCellExperiment #> dim: 33538 47681 #> metadata(1): image diff --git a/reference/check_sce_layer.html b/reference/check_sce_layer.html index b3585fc7..f4976477 100644 --- a/reference/check_sce_layer.html +++ b/reference/check_sce_layer.html @@ -111,7 +111,7 @@

Examples


 ## Obtain the necessary data
 if (!exists("sce_layer")) sce_layer <- fetch_data("sce_layer")
-#> 2024-04-05 19:56:39.330598 loading file /github/home/.cache/R/BiocFileCache/115b535c40f9_Human_DLPFC_Visium_processedData_sce_scran_sce_layer_spatialLIBD.Rdata%3Fdl%3D1
+#> 2024-04-05 19:59:02.128027 loading file /github/home/.cache/R/BiocFileCache/11597ad98e84_Human_DLPFC_Visium_processedData_sce_scran_sce_layer_spatialLIBD.Rdata%3Fdl%3D1
 
 ## Check the object
 check_sce_layer(sce_layer)
diff --git a/reference/check_spe.html b/reference/check_spe.html
index 0ae532c1..2ca1a131 100644
--- a/reference/check_spe.html
+++ b/reference/check_spe.html
@@ -123,7 +123,7 @@ 

Examples

## Check the object check_spe(spe) } -#> 2024-04-05 19:56:41.417964 loading file /github/home/.cache/R/BiocFileCache/155f35c91424_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1 +#> 2024-04-05 19:59:03.978877 loading file /github/home/.cache/R/BiocFileCache/155f98a302_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1 #> class: SpatialExperiment #> dim: 33538 47681 #> metadata(0): diff --git a/reference/cluster_export.html b/reference/cluster_export.html index 7928f21e..5a272448 100644 --- a/reference/cluster_export.html +++ b/reference/cluster_export.html @@ -134,7 +134,7 @@

Examples

cluster_export(spe, "spatialLIBD") cluster_export(spe, "GraphBased") } -#> 2024-04-05 19:56:56.24443 loading file /github/home/.cache/R/BiocFileCache/155f35c91424_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1 +#> 2024-04-05 19:59:18.470286 loading file /github/home/.cache/R/BiocFileCache/155f98a302_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1 #> Overwriting 'spe$key'. Set 'overwrite = FALSE' if you do not want to overwrite it. #> Overwriting 'spe$key'. Set 'overwrite = FALSE' if you do not want to overwrite it.
diff --git a/reference/cluster_import.html b/reference/cluster_import.html index 7b809635..09c988d2 100644 --- a/reference/cluster_import.html +++ b/reference/cluster_import.html @@ -137,11 +137,11 @@

Examples

## Re-import them colData(cluster_import(spe)) } -#> 2024-04-05 19:57:10.729779 loading file /github/home/.cache/R/BiocFileCache/155f35c91424_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1 +#> 2024-04-05 19:59:32.667595 loading file /github/home/.cache/R/BiocFileCache/155f98a302_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1 #> Overwriting 'spe$key'. Set 'overwrite = FALSE' if you do not want to overwrite it. -#> Warning: '/tmp/RtmpwHDTk4/exported_clusters/spatialLIBD' already exists +#> Warning: '/tmp/RtmpgLjxXM/exported_clusters/spatialLIBD' already exists #> Overwriting 'spe$key'. Set 'overwrite = FALSE' if you do not want to overwrite it. -#> Warning: '/tmp/RtmpwHDTk4/exported_clusters/GraphBased' already exists +#> Warning: '/tmp/RtmpgLjxXM/exported_clusters/GraphBased' already exists #> Overwriting 'spe$key'. Set 'overwrite = FALSE' if you do not want to overwrite it. #> DataFrame with 47681 rows and 71 columns #> key sample_id Cluster sum_umi diff --git a/reference/fetch_data.html b/reference/fetch_data.html index 0397609e..a2a133b7 100644 --- a/reference/fetch_data.html +++ b/reference/fetch_data.html @@ -165,7 +165,7 @@

Examples

## Download the SingleCellExperiment object ## at the layer-level if (!exists("sce_layer")) sce_layer <- fetch_data("sce_layer") -#> 2024-04-05 19:57:26.246033 loading file /github/home/.cache/R/BiocFileCache/115b535c40f9_Human_DLPFC_Visium_processedData_sce_scran_sce_layer_spatialLIBD.Rdata%3Fdl%3D1 +#> 2024-04-05 19:59:47.859114 loading file /github/home/.cache/R/BiocFileCache/11597ad98e84_Human_DLPFC_Visium_processedData_sce_scran_sce_layer_spatialLIBD.Rdata%3Fdl%3D1 ## Explore the data sce_layer diff --git a/reference/frame_limits.html b/reference/frame_limits.html index 4c911766..216bbc70 100644 --- a/reference/frame_limits.html +++ b/reference/frame_limits.html @@ -154,7 +154,7 @@

Examples

## Obtain the frame limits for one sample frame_limits(spe, sampleid = "151673") } -#> 2024-04-05 19:57:27.867935 loading file /github/home/.cache/R/BiocFileCache/155f35c91424_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1 +#> 2024-04-05 19:59:49.476695 loading file /github/home/.cache/R/BiocFileCache/155f98a302_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1 #> $y_min #> [1] 64 #> diff --git a/reference/gene_set_enrichment.html b/reference/gene_set_enrichment.html index ff465b00..5bc094c7 100644 --- a/reference/gene_set_enrichment.html +++ b/reference/gene_set_enrichment.html @@ -176,7 +176,7 @@

Examples

if (!exists("modeling_results")) { modeling_results <- fetch_data(type = "modeling_results") } -#> 2024-04-05 19:57:43.061451 loading file /github/home/.cache/R/BiocFileCache/115b8f49cdc_Human_DLPFC_Visium_modeling_results.Rdata%3Fdl%3D1 +#> 2024-04-05 20:00:04.267055 loading file /github/home/.cache/R/BiocFileCache/11592b032277_Human_DLPFC_Visium_modeling_results.Rdata%3Fdl%3D1 ## Compute the gene set enrichment results asd_sfari_enrichment <- gene_set_enrichment( diff --git a/reference/gene_set_enrichment_plot.html b/reference/gene_set_enrichment_plot.html index 672202eb..a2a1503e 100644 --- a/reference/gene_set_enrichment_plot.html +++ b/reference/gene_set_enrichment_plot.html @@ -178,7 +178,7 @@

Examples

if (!exists("modeling_results")) { modeling_results <- fetch_data(type = "modeling_results") } -#> 2024-04-05 19:57:44.400883 loading file /github/home/.cache/R/BiocFileCache/115b8f49cdc_Human_DLPFC_Visium_modeling_results.Rdata%3Fdl%3D1 +#> 2024-04-05 20:00:05.476083 loading file /github/home/.cache/R/BiocFileCache/11592b032277_Human_DLPFC_Visium_modeling_results.Rdata%3Fdl%3D1 ## Compute the gene set enrichment results asd_sfari_enrichment <- gene_set_enrichment( diff --git a/reference/geom_spatial.html b/reference/geom_spatial.html index dfd61e5c..5665d87a 100644 --- a/reference/geom_spatial.html +++ b/reference/geom_spatial.html @@ -175,7 +175,7 @@

Examples

## Clean up rm(spe_sub) } -#> 2024-04-05 19:57:46.280559 loading file /github/home/.cache/R/BiocFileCache/155f35c91424_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1 +#> 2024-04-05 20:00:07.238809 loading file /github/home/.cache/R/BiocFileCache/155f98a302_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1
diff --git a/reference/get_colors.html b/reference/get_colors.html index 182c7333..823b5d7d 100644 --- a/reference/get_colors.html +++ b/reference/get_colors.html @@ -105,7 +105,7 @@

Examples


 ## Obtain the necessary data
 if (!exists("sce_layer")) sce_layer <- fetch_data("sce_layer")
-#> 2024-04-05 19:58:01.981536 loading file /github/home/.cache/R/BiocFileCache/115b535c40f9_Human_DLPFC_Visium_processedData_sce_scran_sce_layer_spatialLIBD.Rdata%3Fdl%3D1
+#> 2024-04-05 20:00:22.551161 loading file /github/home/.cache/R/BiocFileCache/11597ad98e84_Human_DLPFC_Visium_processedData_sce_scran_sce_layer_spatialLIBD.Rdata%3Fdl%3D1
 
 ## Example layer colors with the corresponding names
 get_colors(libd_layer_colors, sce_layer$layer_guess)
diff --git a/reference/img_edit.html b/reference/img_edit.html
index 18d56660..18742337 100644
--- a/reference/img_edit.html
+++ b/reference/img_edit.html
@@ -222,7 +222,7 @@ 

Examples

x <- img_edit(spe, sampleid = "151507", brightness = 25) plot(x) } -#> 2024-04-05 19:58:03.142676 loading file /github/home/.cache/R/BiocFileCache/155f35c91424_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1 +#> 2024-04-05 20:00:23.635238 loading file /github/home/.cache/R/BiocFileCache/155f98a302_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1
diff --git a/reference/img_update.html b/reference/img_update.html index 9497ccf7..f01a72ed 100644 --- a/reference/img_update.html +++ b/reference/img_update.html @@ -139,7 +139,7 @@

Examples

## Reduce brightness to 25% and update the imgData() imgData(img_update(spe, sampleid = "151507", brightness = 25)) } -#> 2024-04-05 19:58:18.945193 loading file /github/home/.cache/R/BiocFileCache/155f35c91424_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1 +#> 2024-04-05 20:00:39.204887 loading file /github/home/.cache/R/BiocFileCache/155f98a302_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1 #> DataFrame with 13 rows and 4 columns #> sample_id image_id data scaleFactor #> <character> <character> <list> <numeric> diff --git a/reference/img_update_all.html b/reference/img_update_all.html index edafdd1f..e84bb674 100644 --- a/reference/img_update_all.html +++ b/reference/img_update_all.html @@ -138,7 +138,7 @@

Examples

## update the imgData() imgData(img_update_all(spe, brightness = 25)) } -#> 2024-04-05 19:58:33.539209 loading file /github/home/.cache/R/BiocFileCache/155f35c91424_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1 +#> 2024-04-05 20:00:53.415044 loading file /github/home/.cache/R/BiocFileCache/155f98a302_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1 #> DataFrame with 24 rows and 4 columns #> sample_id image_id data scaleFactor #> <character> <character> <list> <numeric> diff --git a/reference/layer_boxplot.html b/reference/layer_boxplot.html index 3c2e0cf1..2678b8e3 100644 --- a/reference/layer_boxplot.html +++ b/reference/layer_boxplot.html @@ -185,9 +185,9 @@

Examples

if (!exists("modeling_results")) { modeling_results <- fetch_data(type = "modeling_results") } -#> 2024-04-05 19:58:50.519665 loading file /github/home/.cache/R/BiocFileCache/115b8f49cdc_Human_DLPFC_Visium_modeling_results.Rdata%3Fdl%3D1 +#> 2024-04-05 20:01:10.230575 loading file /github/home/.cache/R/BiocFileCache/11592b032277_Human_DLPFC_Visium_modeling_results.Rdata%3Fdl%3D1 if (!exists("sce_layer")) sce_layer <- fetch_data(type = "sce_layer") -#> 2024-04-05 19:58:51.443355 loading file /github/home/.cache/R/BiocFileCache/115b535c40f9_Human_DLPFC_Visium_processedData_sce_scran_sce_layer_spatialLIBD.Rdata%3Fdl%3D1 +#> 2024-04-05 20:01:11.073344 loading file /github/home/.cache/R/BiocFileCache/11597ad98e84_Human_DLPFC_Visium_processedData_sce_scran_sce_layer_spatialLIBD.Rdata%3Fdl%3D1 ## Top 2 genes from the enrichment model sig_genes <- sig_genes_extract_all( diff --git a/reference/layer_stat_cor.html b/reference/layer_stat_cor.html index 32f9f02b..708fc7d0 100644 --- a/reference/layer_stat_cor.html +++ b/reference/layer_stat_cor.html @@ -156,7 +156,7 @@

Examples

if (!exists("modeling_results")) { modeling_results <- fetch_data(type = "modeling_results") } -#> 2024-04-05 19:58:54.679497 loading file /github/home/.cache/R/BiocFileCache/115b8f49cdc_Human_DLPFC_Visium_modeling_results.Rdata%3Fdl%3D1 +#> 2024-04-05 20:01:14.179337 loading file /github/home/.cache/R/BiocFileCache/11592b032277_Human_DLPFC_Visium_modeling_results.Rdata%3Fdl%3D1 ## Compute the correlations cor_stats_layer <- layer_stat_cor( diff --git a/reference/layer_stat_cor_plot.html b/reference/layer_stat_cor_plot.html index 874284cf..010966e5 100644 --- a/reference/layer_stat_cor_plot.html +++ b/reference/layer_stat_cor_plot.html @@ -145,7 +145,7 @@

Examples

if (!exists("modeling_results")) { modeling_results <- fetch_data(type = "modeling_results") } -#> 2024-04-05 19:58:55.790893 loading file /github/home/.cache/R/BiocFileCache/115b8f49cdc_Human_DLPFC_Visium_modeling_results.Rdata%3Fdl%3D1 +#> 2024-04-05 20:01:15.199864 loading file /github/home/.cache/R/BiocFileCache/11592b032277_Human_DLPFC_Visium_modeling_results.Rdata%3Fdl%3D1 ## Compute the correlations cor_stats_layer <- layer_stat_cor( diff --git a/reference/registration_block_cor.html b/reference/registration_block_cor.html index a55ce7ff..98d1c584 100644 --- a/reference/registration_block_cor.html +++ b/reference/registration_block_cor.html @@ -146,9 +146,9 @@

Examples

#> #> rgstr_> ## Pseudo-bulk #> rgstr_> sce_pseudo <- registration_pseudobulk(sce, "Cell_Cycle", "sample_id", c("age"), min_ncells = NULL) -#> 2024-04-05 19:58:57.900914 make pseudobulk object -#> 2024-04-05 19:58:59.039024 drop lowly expressed genes -#> 2024-04-05 19:58:59.112272 normalize expression +#> 2024-04-05 20:01:17.209751 make pseudobulk object +#> 2024-04-05 20:01:18.270705 drop lowly expressed genes +#> 2024-04-05 20:01:18.342654 normalize expression #> #> rgstr_> colData(sce_pseudo) #> DataFrame with 20 rows and 8 columns @@ -180,7 +180,7 @@

Examples

#> E_S S E 11 #> #> rgstr_> registration_mod <- registration_model(sce_pseudo, "age") -#> 2024-04-05 19:58:59.194021 create model matrix +#> 2024-04-05 20:01:18.422912 create model matrix #> #> rgstr_> head(registration_mod) #> registration_variableG0 registration_variableG1 registration_variableG2M @@ -198,8 +198,8 @@

Examples

#> E_G0 0 20.97006 #> A_G1 0 19.18719 block_cor <- registration_block_cor(sce_pseudo, registration_mod) -#> 2024-04-05 19:58:59.207221 run duplicateCorrelation() -#> 2024-04-05 19:59:00.552104 The estimated correlation is: -0.0187869166526901 +#> 2024-04-05 20:01:18.435945 run duplicateCorrelation() +#> 2024-04-05 20:01:19.750538 The estimated correlation is: -0.0187869166526901

diff --git a/reference/registration_model.html b/reference/registration_model.html index 4142a3eb..d3587404 100644 --- a/reference/registration_model.html +++ b/reference/registration_model.html @@ -148,9 +148,9 @@

Examples

#> #> rgstr_> ## Pseudo-bulk #> rgstr_> sce_pseudo <- registration_pseudobulk(sce, "Cell_Cycle", "sample_id", c("age"), min_ncells = NULL) -#> 2024-04-05 19:59:00.982389 make pseudobulk object -#> 2024-04-05 19:59:01.230437 drop lowly expressed genes -#> 2024-04-05 19:59:01.285314 normalize expression +#> 2024-04-05 20:01:20.153205 make pseudobulk object +#> 2024-04-05 20:01:20.37593 drop lowly expressed genes +#> 2024-04-05 20:01:20.431063 normalize expression #> #> rgstr_> colData(sce_pseudo) #> DataFrame with 20 rows and 8 columns @@ -181,7 +181,7 @@

Examples

#> D_S S D 14 #> E_S S E 11 registration_mod <- registration_model(sce_pseudo, "age") -#> 2024-04-05 19:59:01.36087 create model matrix +#> 2024-04-05 20:01:20.5066 create model matrix head(registration_mod) #> registration_variableG0 registration_variableG1 registration_variableG2M #> A_G0 1 0 0 diff --git a/reference/registration_pseudobulk.html b/reference/registration_pseudobulk.html index 8f51b3c4..677b0e44 100644 --- a/reference/registration_pseudobulk.html +++ b/reference/registration_pseudobulk.html @@ -159,9 +159,9 @@

Examples

## Pseudo-bulk sce_pseudo <- registration_pseudobulk(sce, "Cell_Cycle", "sample_id", c("age"), min_ncells = NULL) -#> 2024-04-05 19:59:01.795745 make pseudobulk object -#> 2024-04-05 19:59:01.96856 drop lowly expressed genes -#> 2024-04-05 19:59:02.038699 normalize expression +#> 2024-04-05 20:01:20.920686 make pseudobulk object +#> 2024-04-05 20:01:21.077883 drop lowly expressed genes +#> 2024-04-05 20:01:21.132482 normalize expression colData(sce_pseudo) #> DataFrame with 20 rows and 8 columns #> Mutation_Status Cell_Cycle Treatment sample_id age diff --git a/reference/registration_stats_anova.html b/reference/registration_stats_anova.html index 2578d9f6..b3b56ff6 100644 --- a/reference/registration_stats_anova.html +++ b/reference/registration_stats_anova.html @@ -180,9 +180,9 @@

Examples

#> #> rgstr_> ## Pseudo-bulk #> rgstr_> sce_pseudo <- registration_pseudobulk(sce, "Cell_Cycle", "sample_id", c("age"), min_ncells = NULL) -#> 2024-04-05 19:59:02.692828 make pseudobulk object -#> 2024-04-05 19:59:02.857981 drop lowly expressed genes -#> 2024-04-05 19:59:02.915779 normalize expression +#> 2024-04-05 20:01:21.740629 make pseudobulk object +#> 2024-04-05 20:01:21.89548 drop lowly expressed genes +#> 2024-04-05 20:01:21.949466 normalize expression #> #> rgstr_> colData(sce_pseudo) #> DataFrame with 20 rows and 8 columns @@ -214,7 +214,7 @@

Examples

#> E_S S E 11 #> #> rgstr_> registration_mod <- registration_model(sce_pseudo, "age") -#> 2024-04-05 19:59:02.992447 create model matrix +#> 2024-04-05 20:01:22.023612 create model matrix #> #> rgstr_> head(registration_mod) #> registration_variableG0 registration_variableG1 registration_variableG2M @@ -233,13 +233,13 @@

Examples

#> A_G1 0 19.18719 #> #> rgst__> block_cor <- registration_block_cor(sce_pseudo, registration_mod) -#> 2024-04-05 19:59:03.003922 run duplicateCorrelation() -#> 2024-04-05 19:59:04.349516 The estimated correlation is: -0.0187869166526901 +#> 2024-04-05 20:01:22.03481 run duplicateCorrelation() +#> 2024-04-05 20:01:23.343878 The estimated correlation is: -0.0187869166526901 results_anova <- registration_stats_anova(sce_pseudo, block_cor, "age", gene_ensembl = "ensembl", gene_name = "gene_name", suffix = "example" ) -#> 2024-04-05 19:59:04.362757 computing F-statistics +#> 2024-04-05 20:01:23.356266 computing F-statistics head(results_anova) #> f_stat_example p_value_example fdr_example AveExpr_example ensembl gene #> 1 0.1328075 0.93918553 0.9951876 5.499488 ENSG1 gene1 @@ -254,7 +254,7 @@

Examples

block_cor = NaN, "age", gene_ensembl = "ensembl", gene_name = "gene_name", suffix = "example" ) -#> 2024-04-05 19:59:04.430931 computing F-statistics +#> 2024-04-05 20:01:23.419196 computing F-statistics head(results_anova_nan) #> f_stat_example p_value_example fdr_example AveExpr_example ensembl gene #> 1 0.1357180 0.93736053 0.9943765 5.499488 ENSG1 gene1 @@ -276,7 +276,7 @@

Examples

covars = NULL, gene_ensembl = "ensembl", gene_name = "gene_name", suffix = "nocovar" ) -#> 2024-04-05 19:59:04.483604 computing F-statistics +#> 2024-04-05 20:01:23.469443 computing F-statistics head(results_anova_nocovar) #> f_stat_nocovar p_value_nocovar fdr_nocovar AveExpr_nocovar ensembl gene #> 1 0.1393641 0.9351345 0.9962097 5.499488 ENSG1 gene1 diff --git a/reference/registration_stats_enrichment.html b/reference/registration_stats_enrichment.html index 45a4b3c0..5b741714 100644 --- a/reference/registration_stats_enrichment.html +++ b/reference/registration_stats_enrichment.html @@ -171,9 +171,9 @@

Examples

#> #> rgstr_> ## Pseudo-bulk #> rgstr_> sce_pseudo <- registration_pseudobulk(sce, "Cell_Cycle", "sample_id", c("age"), min_ncells = NULL) -#> 2024-04-05 19:59:05.077137 make pseudobulk object -#> 2024-04-05 19:59:05.246901 drop lowly expressed genes -#> 2024-04-05 19:59:05.305262 normalize expression +#> 2024-04-05 20:01:24.023903 make pseudobulk object +#> 2024-04-05 20:01:24.180267 drop lowly expressed genes +#> 2024-04-05 20:01:24.234851 normalize expression #> #> rgstr_> colData(sce_pseudo) #> DataFrame with 20 rows and 8 columns @@ -205,7 +205,7 @@

Examples

#> E_S S E 11 #> #> rgstr_> registration_mod <- registration_model(sce_pseudo, "age") -#> 2024-04-05 19:59:05.381719 create model matrix +#> 2024-04-05 20:01:24.309358 create model matrix #> #> rgstr_> head(registration_mod) #> registration_variableG0 registration_variableG1 registration_variableG2M @@ -224,14 +224,14 @@

Examples

#> A_G1 0 19.18719 #> #> rgst__> block_cor <- registration_block_cor(sce_pseudo, registration_mod) -#> 2024-04-05 19:59:05.392989 run duplicateCorrelation() -#> 2024-04-05 19:59:06.717149 The estimated correlation is: -0.0187869166526901 +#> 2024-04-05 20:01:24.320518 run duplicateCorrelation() +#> 2024-04-05 20:01:25.618793 The estimated correlation is: -0.0187869166526901 results_enrichment <- registration_stats_enrichment(sce_pseudo, block_cor, "age", gene_ensembl = "ensembl", gene_name = "gene_name" ) -#> 2024-04-05 19:59:06.721161 computing enrichment statistics -#> 2024-04-05 19:59:06.847199 extract and reformat enrichment results +#> 2024-04-05 20:01:25.622413 computing enrichment statistics +#> 2024-04-05 20:01:25.742697 extract and reformat enrichment results head(results_enrichment) #> t_stat_G0 t_stat_G1 t_stat_G2M t_stat_S p_value_G0 p_value_G1 #> Gene_0001 0.1482017 0.5610669 -0.3612235 -0.3458508 0.88374480 0.58130631 @@ -260,8 +260,8 @@

Examples

block_cor = NaN, "age", gene_ensembl = "ensembl", gene_name = "gene_name" ) -#> 2024-04-05 19:59:06.881659 computing enrichment statistics -#> 2024-04-05 19:59:06.988418 extract and reformat enrichment results +#> 2024-04-05 20:01:25.776383 computing enrichment statistics +#> 2024-04-05 20:01:25.880724 extract and reformat enrichment results head(results_enrichment_nan) #> t_stat_G0 t_stat_G1 t_stat_G2M t_stat_S p_value_G0 p_value_G1 #> Gene_0001 0.1497747 0.56711100 -0.3650801 -0.3495404 0.88252049 0.57727506 diff --git a/reference/registration_stats_pairwise.html b/reference/registration_stats_pairwise.html index b3794c77..dc782cf0 100644 --- a/reference/registration_stats_pairwise.html +++ b/reference/registration_stats_pairwise.html @@ -173,9 +173,9 @@

Examples

#> #> rgstr_> ## Pseudo-bulk #> rgstr_> sce_pseudo <- registration_pseudobulk(sce, "Cell_Cycle", "sample_id", c("age"), min_ncells = NULL) -#> 2024-04-05 19:59:07.483405 make pseudobulk object -#> 2024-04-05 19:59:07.646253 drop lowly expressed genes -#> 2024-04-05 19:59:07.703922 normalize expression +#> 2024-04-05 20:01:26.357244 make pseudobulk object +#> 2024-04-05 20:01:26.513061 drop lowly expressed genes +#> 2024-04-05 20:01:26.567246 normalize expression #> #> rgstr_> colData(sce_pseudo) #> DataFrame with 20 rows and 8 columns @@ -207,7 +207,7 @@

Examples

#> E_S S E 11 #> #> rgstr_> registration_mod <- registration_model(sce_pseudo, "age") -#> 2024-04-05 19:59:07.779688 create model matrix +#> 2024-04-05 20:01:26.641132 create model matrix #> #> rgstr_> head(registration_mod) #> registration_variableG0 registration_variableG1 registration_variableG2M @@ -226,14 +226,14 @@

Examples

#> A_G1 0 19.18719 #> #> rgst__> block_cor <- registration_block_cor(sce_pseudo, registration_mod) -#> 2024-04-05 19:59:07.790834 run duplicateCorrelation() -#> 2024-04-05 19:59:09.109281 The estimated correlation is: -0.0187869166526901 +#> 2024-04-05 20:01:26.652237 run duplicateCorrelation() +#> 2024-04-05 20:01:27.948041 The estimated correlation is: -0.0187869166526901 results_pairwise <- registration_stats_pairwise(sce_pseudo, registration_mod, block_cor, gene_ensembl = "ensembl", gene_name = "gene_name" ) -#> 2024-04-05 19:59:09.111326 running the baseline pairwise model -#> 2024-04-05 19:59:09.128504 computing pairwise statistics +#> 2024-04-05 20:01:27.950006 running the baseline pairwise model +#> 2024-04-05 20:01:27.96657 computing pairwise statistics head(results_pairwise) #> t_stat_G0-G1 t_stat_G0-G2M t_stat_G0-S t_stat_G1-G2M t_stat_G1-S #> Gene_0001 -0.2393683 0.29771391 0.28880637 0.5370822 0.5281747 @@ -277,8 +277,8 @@

Examples

block_cor = NaN, gene_ensembl = "ensembl", gene_name = "gene_name" ) -#> 2024-04-05 19:59:09.196722 running the baseline pairwise model -#> 2024-04-05 19:59:09.214999 computing pairwise statistics +#> 2024-04-05 20:01:28.03338 running the baseline pairwise model +#> 2024-04-05 20:01:28.051486 computing pairwise statistics head(results_pairwise_nan) #> t_stat_G0-G1 t_stat_G0-G2M t_stat_G0-S t_stat_G1-G2M t_stat_G1-S #> Gene_0001 -0.2419770 0.30095840 0.29195379 0.5429354 0.5339308 diff --git a/reference/registration_wrapper.html b/reference/registration_wrapper.html index c085ee83..ceb90e1a 100644 --- a/reference/registration_wrapper.html +++ b/reference/registration_wrapper.html @@ -200,18 +200,18 @@

Examples

sce, "Cell_Cycle", "sample_id", c("age"), "ensembl", "gene_name", "wrapper" ) -#> 2024-04-05 19:59:09.757342 make pseudobulk object -#> 2024-04-05 19:59:09.956038 dropping 9 pseudo-bulked samples that are below 'min_ncells'. -#> 2024-04-05 19:59:09.979348 drop lowly expressed genes -#> 2024-04-05 19:59:10.03764 normalize expression -#> 2024-04-05 19:59:10.097637 create model matrix -#> 2024-04-05 19:59:10.108244 run duplicateCorrelation() -#> 2024-04-05 19:59:12.581675 The estimated correlation is: -0.0783081238514532 -#> 2024-04-05 19:59:12.584187 computing enrichment statistics -#> 2024-04-05 19:59:12.746522 extract and reformat enrichment results -#> 2024-04-05 19:59:12.773584 running the baseline pairwise model -#> 2024-04-05 19:59:12.79232 computing pairwise statistics -#> 2024-04-05 19:59:12.870495 computing F-statistics +#> 2024-04-05 20:01:28.568415 make pseudobulk object +#> 2024-04-05 20:01:28.754401 dropping 9 pseudo-bulked samples that are below 'min_ncells'. +#> 2024-04-05 20:01:28.775645 drop lowly expressed genes +#> 2024-04-05 20:01:28.828816 normalize expression +#> 2024-04-05 20:01:28.885857 create model matrix +#> 2024-04-05 20:01:28.896152 run duplicateCorrelation() +#> 2024-04-05 20:01:31.332342 The estimated correlation is: -0.0783081238514532 +#> 2024-04-05 20:01:31.334621 computing enrichment statistics +#> 2024-04-05 20:01:31.486938 extract and reformat enrichment results +#> 2024-04-05 20:01:31.515873 running the baseline pairwise model +#> 2024-04-05 20:01:31.534001 computing pairwise statistics +#> 2024-04-05 20:01:31.60749 computing F-statistics diff --git a/reference/sce_to_spe.html b/reference/sce_to_spe.html index cb60edec..b85add1c 100644 --- a/reference/sce_to_spe.html +++ b/reference/sce_to_spe.html @@ -127,7 +127,7 @@

Examples

## Transform it to a SpatialExperiment object spe <- sce_to_spe(sce) } -#> 2024-04-05 19:59:14.718444 loading file /github/home/.cache/R/BiocFileCache/155f35c91424_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1 +#> 2024-04-05 20:01:33.193059 loading file /github/home/.cache/R/BiocFileCache/155f98a302_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1 diff --git a/reference/sig_genes_extract.html b/reference/sig_genes_extract.html index 23405795..57f3379e 100644 --- a/reference/sig_genes_extract.html +++ b/reference/sig_genes_extract.html @@ -156,9 +156,9 @@

Examples

if (!exists("modeling_results")) { modeling_results <- fetch_data(type = "modeling_results") } -#> 2024-04-05 19:59:28.348046 loading file /github/home/.cache/R/BiocFileCache/115b8f49cdc_Human_DLPFC_Visium_modeling_results.Rdata%3Fdl%3D1 +#> 2024-04-05 20:01:46.348571 loading file /github/home/.cache/R/BiocFileCache/11592b032277_Human_DLPFC_Visium_modeling_results.Rdata%3Fdl%3D1 if (!exists("sce_layer")) sce_layer <- fetch_data(type = "sce_layer") -#> 2024-04-05 19:59:29.150334 loading file /github/home/.cache/R/BiocFileCache/115b535c40f9_Human_DLPFC_Visium_processedData_sce_scran_sce_layer_spatialLIBD.Rdata%3Fdl%3D1 +#> 2024-04-05 20:01:47.096632 loading file /github/home/.cache/R/BiocFileCache/11597ad98e84_Human_DLPFC_Visium_processedData_sce_scran_sce_layer_spatialLIBD.Rdata%3Fdl%3D1 ## anova top 10 genes sig_genes_extract( diff --git a/reference/sig_genes_extract_all.html b/reference/sig_genes_extract_all.html index 2d1f2ff1..e7f5043d 100644 --- a/reference/sig_genes_extract_all.html +++ b/reference/sig_genes_extract_all.html @@ -128,9 +128,9 @@

Examples

if (!exists("modeling_results")) { modeling_results <- fetch_data(type = "modeling_results") } -#> 2024-04-05 19:59:33.100424 loading file /github/home/.cache/R/BiocFileCache/115b8f49cdc_Human_DLPFC_Visium_modeling_results.Rdata%3Fdl%3D1 +#> 2024-04-05 20:01:50.81045 loading file /github/home/.cache/R/BiocFileCache/11592b032277_Human_DLPFC_Visium_modeling_results.Rdata%3Fdl%3D1 if (!exists("sce_layer")) sce_layer <- fetch_data(type = "sce_layer") -#> 2024-04-05 19:59:34.025614 loading file /github/home/.cache/R/BiocFileCache/115b535c40f9_Human_DLPFC_Visium_processedData_sce_scran_sce_layer_spatialLIBD.Rdata%3Fdl%3D1 +#> 2024-04-05 20:01:51.680661 loading file /github/home/.cache/R/BiocFileCache/11597ad98e84_Human_DLPFC_Visium_processedData_sce_scran_sce_layer_spatialLIBD.Rdata%3Fdl%3D1 ## top 10 genes for all models sig_genes_extract_all( diff --git a/reference/vis_clus.html b/reference/vis_clus.html index 071ae9b8..009db651 100644 --- a/reference/vis_clus.html +++ b/reference/vis_clus.html @@ -232,7 +232,7 @@

Examples

) print(p4) } -#> 2024-04-05 19:59:36.249341 loading file /github/home/.cache/R/BiocFileCache/155f35c91424_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1 +#> 2024-04-05 20:01:53.933918 loading file /github/home/.cache/R/BiocFileCache/155f98a302_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1 diff --git a/reference/vis_clus_p.html b/reference/vis_clus_p.html index cc22c2a3..3ffc6ea8 100644 --- a/reference/vis_clus_p.html +++ b/reference/vis_clus_p.html @@ -202,7 +202,7 @@

Examples

## Clean up rm(spe_sub) } -#> 2024-04-05 19:59:55.95404 loading file /github/home/.cache/R/BiocFileCache/155f35c91424_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1 +#> 2024-04-05 20:02:13.361915 loading file /github/home/.cache/R/BiocFileCache/155f98a302_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1 diff --git a/reference/vis_gene.html b/reference/vis_gene.html index 7b2872bc..f0a5b64c 100644 --- a/reference/vis_gene.html +++ b/reference/vis_gene.html @@ -331,7 +331,7 @@

Examples

) print(p8) } -#> 2024-04-05 20:00:11.316723 loading file /github/home/.cache/R/BiocFileCache/155f35c91424_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1 +#> 2024-04-05 20:02:28.329119 loading file /github/home/.cache/R/BiocFileCache/155f98a302_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1 diff --git a/reference/vis_gene_p.html b/reference/vis_gene_p.html index 082a8bc5..6e1b4236 100644 --- a/reference/vis_gene_p.html +++ b/reference/vis_gene_p.html @@ -220,7 +220,7 @@

Examples

## Clean up rm(spe_sub) } -#> 2024-04-05 20:00:37.722209 loading file /github/home/.cache/R/BiocFileCache/155f35c91424_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1 +#> 2024-04-05 20:02:54.512688 loading file /github/home/.cache/R/BiocFileCache/155f98a302_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1 diff --git a/reference/vis_grid_clus.html b/reference/vis_grid_clus.html index 8bba7af0..c398728a 100644 --- a/reference/vis_grid_clus.html +++ b/reference/vis_grid_clus.html @@ -227,7 +227,7 @@

Examples

## for subject 3 cowplot::plot_grid(plotlist = p_list, ncol = 2) } -#> 2024-04-05 20:00:52.935986 loading file /github/home/.cache/R/BiocFileCache/155f35c91424_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1 +#> 2024-04-05 20:03:09.585646 loading file /github/home/.cache/R/BiocFileCache/155f98a302_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1 diff --git a/reference/vis_grid_gene.html b/reference/vis_grid_gene.html index ce9df588..bea8eb4d 100644 --- a/reference/vis_grid_gene.html +++ b/reference/vis_grid_gene.html @@ -246,7 +246,7 @@

Examples

## for subject 3 cowplot::plot_grid(plotlist = p_list, ncol = 2) } -#> 2024-04-05 20:01:09.517941 loading file /github/home/.cache/R/BiocFileCache/155f35c91424_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1 +#> 2024-04-05 20:03:25.870071 loading file /github/home/.cache/R/BiocFileCache/155f98a302_Human_DLPFC_Visium_processedData_sce_scran_spatialLIBD.Rdata%3Fdl%3D1