Update vignettes

DESCRIPTION

@@ -1,7 +1,7 @@
 Type: Package
 Package: clustermole
 Title: Unbiased Single-Cell Transcriptomic Data Cell Type Identification
-Version: 1.1.1
+Version: 1.1.1.9000
 Authors@R: 
     person("Igor", "Dolgalev", , "[email protected]", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-4451-126X"))
 Description: Assignment of cell type labels to single-cell RNA sequencing (scRNA-seq) clusters is often a time-consuming process that involves manual inspection of the cluster marker genes complemented with a detailed literature search. This is especially challenging when unexpected or poorly described populations are present. The clustermole R package provides methods to query thousands of human and mouse cell identity markers sourced from a variety of databases.
@@ -31,4 +31,4 @@ VignetteBuilder:
     knitr
 biocViews:
 Encoding: UTF-8
-RoxygenNote: 7.2.3
+RoxygenNote: 7.3.1

vignettes/clustermole-intro.Rmd

@@ -38,7 +38,7 @@ install.packages("clustermole")
 
 Load clustermole.
 
-```{r load-package, message=FALSE}
+```{r load-package, message=FALSE, warning=FALSE}
 library(clustermole)
 ```
 

vignettes/db.Rmd

@@ -11,7 +11,7 @@ knitr::opts_chunk$set(
 
 We will load clustermole along with dplyr to help with summarizing the data.
 
-```{r setup, message=FALSE}
+```{r load-libraries, message=FALSE, warning=FALSE}
 library(clustermole)
 library(dplyr)
 ```

vignettes/example-bm-seurat.Rmd

@@ -24,7 +24,7 @@ This experiment was selected because it includes both well-known as well as rare
 
 Load relevant packages.
 
-```{r load-libraries, message=FALSE}
+```{r load-libraries, message=FALSE, warning=FALSE}
 library(Seurat)
 library(dplyr)
 library(ggplot2)