pseudoMA | R Documentation |
Make a 'pseudo' MA plot Make a MA plot even when you have only n=1. Note that this can be used if one or both condition groups have more than one or more replicates.
pseudoMA(
counts,
treat,
con,
FoldChange = 1,
title = "",
retDA = FALSE,
retRes = FALSE
)
counts |
data frame of normalized counts to be used. |
treat |
character vector of column name(s) in counts to be used as the treatment condition. |
con |
character vector of column name(s) in counts to be used as the control/reference condition. |
FoldChange |
absolute log2FoldChange threshold (treat/con) to subset the 'differently activated' genes - Note no statistics are performed with this, and so these genes cannot be named as 'differential' |
title |
Character indicating the title of the plot |
retDA |
Boolean indicating if differently activated genes should be returned as a list (Down, Up). Default is FALSE. |
retRes |
Boolean indicating if 'pseudo' results object should be returned. Default is FALSE, and will not return if retDA=TRUE. Note that any p-values indicated in this table are dummy values. |
MA plot with differently activated genes highlighted, named list of differently activated genes if retDA=TRUE, and 'pseudo' results object if retRes=TRUE (and retDA=FALSE).
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