stringgaussnet: from differentially expressed genes to semantic and Gaussian networks generation

被引：0
|
作者：
Chaplais, Emmanuel [1 ,2 ]
Garchon, Henri-Jean [1 ,2 ,3 ]
机构：
[1] INSERM, U1173, F-78180 Montigny Le Bretonneux, France
[2] Univ Versailles St Quentin, F-78180 Montigny Le Bretonneux, France
[3] Hop Ambroise Pare, Div Genet, F-92100 Boulogne, France
来源：
BIOINFORMATICS | 2015年 / 31卷 / 23期
关键词：
REVEALS;
D O I：
10.1093/bioinformatics/btv450
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
Motivation: Knowledge-based and co-expression networks are two kinds of gene networks that can be currently implemented by sophisticated but distinct tools. We developed stringgaussnet, an R package that integrates both approaches, starting from a list of differentially expressed genes.
引用
收藏
页码：3865 / 3867
页数：3
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