deseq2_pipe: Pipeline for DESeq2 analysis

Description Usage Arguments Value

View source: R/deseq2_pipe.R

Description

Function to perform entire DESeq2 analysis, beginning with a SummarizedExperiment and ending with list of differential genes and generation of diagnostic plots along the way.

Usage

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deseq2_pipe(se = NULL, block.column = NULL, adjust.method = "BH",
  p.value = 0.05)

Arguments

se

SummarizedExperiment with an assay slot named counts_fil containing the filtered counts and colData slot containing sample metadata.

block.column

The column in the samples metadata dataframe specifying the block/additive effect column.

adjust.method

Method to be used for adjustment of nominal p-values. May be one of "BH", "bonferroni", "holm", "hochberg", "hommel", "BY".

p.value

Value between 0 and 1. Adjusted p-value for the differential expression analysis.

Value

List containing the DESeq2 DDS container, the raw results for each contrast and the processed differential gene results.


anilchalisey/parseR documentation built on May 7, 2019, 7:45 a.m.