multi.t.test | R Documentation |
multiple comparisons t test and choose significant proteins in proteomic data.
multi.t.test(data, group, sig = 0.05, Adj.sig = TRUE, grpAdj = "bonferroni", geneAdj = "fdr", ...)
data |
protein quantification data. column is sample. row is protein ID. |
group |
sample group information |
sig |
siginificant P value threshold. The default is 0.05. |
Adj.sig |
a logical value indicated that whether adjust P-values for multiple proteins comparisons in each two groups. |
grpAdj |
adjust multiple groups comparisions P-value in each two groups. The default is |
geneAdj |
adjust multiple proteins comparisions P-value in each group. The default is |
... |
Other arguments. |
Kefu Liu
data(imputedData) data <- imputedData logD <- data$log2_value rownames(logD) <- data$inf$ori.ID group <- gsub("[0-9]+", "", colnames(logD)) Tsig_P <- multi.t.test(logD[1:100,], group, Adj.sig = FALSE, geneAdj = "fdr")
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