'DESeqDataSet' object for the differential topic analysis on all paired-samples in psE_BARBI.

A By applying DEseq2::results() on 'DESeqDataSet', we get a data frame with topics on rows and test results on the columns (baseMean, log2FoldChange, lfcSE, stat, pvalue, padj)

dds_all_paired_K_11

Format

An object of class 'DESeqDataSet'.

baseMean

mean of the topic abundance

log2FoldChange

log fold change of topic abundance in experimental condions tested.

lfcSE

Standard error of log fold change.

stat

Test statistic value under the null hypothesis.

pvalue

P-value for the test.

padj

Adjusted P-value.

Source

Data is from Fitzpatrick et al. (2018)

Examples

if (FALSE) {
results(dds_all_paired_K_11)
}