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scenicOptions <- runSCENIC_3_scoreCells(scenicOptions, exprMat_log )
15:20 Step 3. Analyzing the network activity in each individual cell
Number of regulons to evaluate on cells: 12
Biggest (non-extended) regulons:
Junb (82g)
Fos (29g)
Irf7 (25g)
Stat1 (19g)
Fosb (11g)
Jun (12g)
Quantiles for the number of genes detected by cell:
(Non-detected genes are shuffled at the end of the ranking. Keep it in mind when choosing the threshold for calculating the AUC).
min 1% 5% 10% 50% 100%
6 8 9 10 12 16
Warning in .AUCell_calcAUC(geneSets = geneSets, rankings = rankings, nCores = nCores, :
Using only the first 8 genes (aucMaxRank) to calculate the AUC.
Error in .AUCell_calcAUC(geneSets = geneSets, rankings = rankings, nCores = nCores, :
Fewer than 20% of the genes in the gene sets are included in the rankings.Check wether the gene IDs in the 'rankings' and 'geneSets' match.
The text was updated successfully, but these errors were encountered:
scenicOptions <- runSCENIC_3_scoreCells(scenicOptions, exprMat_log )
15:20 Step 3. Analyzing the network activity in each individual cell
Number of regulons to evaluate on cells: 12
Biggest (non-extended) regulons:
Junb (82g)
Fos (29g)
Irf7 (25g)
Stat1 (19g)
Fosb (11g)
Jun (12g)
Quantiles for the number of genes detected by cell:
(Non-detected genes are shuffled at the end of the ranking. Keep it in mind when choosing the threshold for calculating the AUC).
min 1% 5% 10% 50% 100%
6 8 9 10 12 16
Warning in .AUCell_calcAUC(geneSets = geneSets, rankings = rankings, nCores = nCores, :
Using only the first 8 genes (aucMaxRank) to calculate the AUC.
Error in .AUCell_calcAUC(geneSets = geneSets, rankings = rankings, nCores = nCores, :
Fewer than 20% of the genes in the gene sets are included in the rankings.Check wether the gene IDs in the 'rankings' and 'geneSets' match.
The text was updated successfully, but these errors were encountered: