check_genes_missing_total

This function is to check if 100% of genes in gene sets to be analyzed have missing information in data matrix.

A method that inherits the standard gene set variation analysis (GSVA) method and also provides the option to use summary statistics from any analysis (disease vs healthy, lesional side vs nonlesional side, etc..) input to define the direction of gene sets used for directional gene set score calculation for a given disease. Note to use this package, GSVA(>= 1.52.1) is needed to pre-installed.
Hanzelmann, S., Castelo, R., and Guinney, J. (2013) <doi:10.1186/1471-2105-14-7>.

Xingpeng Li

ssdGSA

Single Sample Directional Gene Set Analysis

Qi Qian

check_genes_missing_total function

<dl><dt>Gene_sets</dt>
<dd>A list of gene sets to be analyzed, with gene set names as component names, and each component is a vector
of gene entrez ID.</dd>
<dt>Data</dt>
<dd>Data matrix of gene expressions with gene ensembl ID as row names and columns corresponding to different samples.</dd></dl>

Arguments

Function to Check if 100% of Genes in Gene Sets Have Missing Information in Data Matrix — check_genes_missing_total

<dl>

<dt>Gene_sets</dt>
<dd>A list of gene sets to be analyzed, with gene set names as component names, and each component is a vector
of gene entrez ID.</dd>


<dt>Data</dt>
<dd>Data matrix of gene expressions with gene ensembl ID as row names and columns corresponding to different samples.</dd>

</dl>

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check_genes_missing_total: Function to Check if 100% of Genes in Gene Sets Have Missing Information in Data Matrix

Description

Usage

Value

Arguments

Details