Description Usage Arguments Details Author(s) Examples
extract significant differential protein
1 2 3 4 |
relative_value |
protein quantification data |
group |
sample group information |
vs.set2 |
compared group 2 name |
vs.set1 |
compared group 1 name |
rank |
order by which type. This must be (an abbreviation of) one of the strings " |
anova |
a logical value indicating whether do anova analysis. |
anova.cutoff |
a numberic value indicated that anova test p value upper limit. |
T.cutoff |
a numberic value indicated that t.test p value upper limit. |
Padj |
p adjust methods of multiple comparisons.
it can seen in |
cutoff |
a numberic value indicated that foldchange lower limit. |
datatype |
The quantification data is normal data or log2 data. |
fctype |
foldchange is ordered by up-regulated or down-regulated or changed |
... |
Other arguments. |
extract significant differential protein ID based on foldchange, t.test p value, anova p value.
Kefu Liu
1 2 3 4 5 6 7 8 9 10 11 | rm(list = ls())
library(DDPNA)
data(imputedData)
data <- imputedData
logD <- data$log2_value
rownames(logD) <- data$inf$ori.ID
group <- gsub("[0-9]+","", colnames(logD))
up <- changedID(logD, group, vs.set2 = "ad", vs.set1 = "ctl",
rank = "foldchange",anova = FALSE, Padj = "none", cutoff = 1,
datatype = "log2", fctype = "up")
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