metevalue.RNA_general: A general method to calculate the e-value for RNA-seq data.

In metevalue: E-Value in the Omics Data Association Studies

A general method to calculate the e-value for RNA-seq data.

Description

A general method to calculate the e-value for RNA-seq data.

Usage

metevalue.RNA_general(rna, group1_name, group2_name)

Arguments

rna	data.frame: A data.frame object of RNAseq data. For example: TAG treated1fb treated2fb untreated1fb untreated2fb TAG1 4.449648 4.750104 4.392285 4.497514 TAG2 8.241116 8.302852 8.318125 8.488796 ... ... ... ... ... Row names (TAG1 and TAG2 in the above example) is also suggested.
group1_name	charactor: The name (pattern) of the first group. For example, "treated" in the above example. For example 'treated_abc' and 'treated' will be considered as the same group if 'group1_name = "treated"'. Use this with care in practice.
group2_name	charactor: The name (pattern) of the second group. For example, "untreated" in the above example. For example 'untreated_abc' and 'untreated' will be considered as the same group if 'group2_name = "untreated"'. Use this with care in practice.

Value

evalue

Examples

data("demo_desq_out")

evalue = metevalue.RNA_general(demo_desq_out, 'treated','untreated')

metevalue documentation built on May 31, 2023, 8:19 p.m.