metevalue.RNA_general {metevalue}

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')