Performs descriptive statistics and FDR (False Discovery Rate) test for microarray expression matrix
numeric matrix of expression data where each row corresponds to a probe (gene, transcript), and each column correspondes to a specimen (patient).
factor vector with two levels specifying specimens in the columns of the
This function takes matrix of expression data and performs T-test with FDR correction for two groups
for each probe.
T-test is a two-sided, two-class with equal variances against the null hypothesis 'mean1=mean2' for each row. See
rowttests for details.
a data frame containing for each probe: mean and sd values for both groups, difference of means, p-value for T-test and q-value for FDR (False Discovery Rate) correction.
Elena N. Filatova
Welch B.L.(1951) On the comparison of several mean values: an alternative approach. Biometrika 38, 330-336. https://doi.org/10.1093/biomet/38.3-4.330
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data("IMexpression"); data("IMspecimen") # load data and specimen information #sampling data and specimen information ExpData<-MiDataSample(IMexpression, IMspecimen$diagnosis,"ebv", "norm") Specimens<-MiSpecimenSample(IMspecimen$diagnosis, "ebv", "norm") #Counting statistics StatRes<-MiStatCount(ExpData, Specimens) head(StatRes)
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