Description Usage Arguments Details Examples
View source: R/findDEmarkers.R
This will perform differential expression using edgeR to find markers for each cluster or group compared to all others
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input |
Input expression set |
pd |
pData, optional, by default set to pData of input |
DEgroup |
a pData variable |
sizefactor |
a pData column containing the scran reported size factor for each cell |
lib_size |
a pData column containing the library size for each cell |
batchID |
a pData variable to use for model accounting for batch effects |
outdir |
an output directory |
outsuffix |
an output file suffix |
minCells |
minimum cell fraction the genes should be expressed in to be tested for DE |
pVal |
pvalue cutoff for reported results, by default reports all results |
contrast |
a list of contrasts to be used for the DE analysis default is a two-class comparison, with the second class as the comparison class |
Utilize information stored in pData to control the DE performed
1 | findDEmarkers(input, pd = selected_table, DEgroup = "cluster", batchID = "beads", sizefactor="sizefactor", lib_size="lib_size")
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