Description Usage Arguments Value References Examples
Wrapper function to perform eBayes
differential
gene expression analysis (DEG).
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 |
emat |
numeric matrix with row features and sample columns. For
|
class |
a factor vector specifying subtypes compared.
|
batch |
a factor vector specifying additional level in design matrix. |
keepN |
a logical or numeric vector specifying which samples to keep (defaults to all). |
doPairwise |
a logical, whether pairwise comparison are to be performed (as opposed to class k against K-k). |
doVoom |
a logical, indicating whether emat is sequencing count data. |
normMethod |
a character, only used if doVoom=TRUE and passed to |
returnTreat |
logical, if true, parameters lfc and padj are passed to |
lfc |
numeric, only applicable if returnTreat=TRUE, if FALSE, all genes are returned |
padj |
numeric, only applicable if returnTreat=TRUE, if FALSE, all genes are returned |
feat |
data frame with feature data |
doPlot |
a logical, not implemented. |
sortBy |
character passed to |
... |
additional arguments passed to |
a data frame (for two classes) or list of data frames (in case of more than two classes) with results.
Wu D, Smyth GK. Camera: a competitive gene set test accounting for inter-gene correlation. Nucl. Acids Res. 2012;gks461. http://nar.oxfordjournals.org/content/early/2012/05/24/nar.gks461
1 2 | deg <- subDEG(crcTCGAsubset, crcTCGAsubset$CMS, doVoom=TRUE, sortBy="P")
lapply(deg, head)
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