Comparative analysis of algorithms for integration of copy number and expression data

被引：0
|
作者：
Riku Louhimo
Tatiana Lepikhova
Outi Monni
Sampsa Hautaniemi
机构：
[1] Research Programs Unit,
[2] Genome-Scale Biology and Institute of Biomedicine,undefined
[3] Biochemistry and Developmental Biology,undefined
[4] Faculty of Medicine,undefined
[5] University of Helsinki,undefined
来源：
Nature Methods | 2012年 / 9卷 / 4期
关键词：
D O I：
10.1038/nmeth.1893
中图分类号：
学科分类号：
摘要：
Algorithms that integrate genome-wide copy number and gene expression data offer a promising way to uncover genes that drive the progression of cancers. The performance of ten software tools on simulated and real cancer datasets of different sizes is directly compared in this Analysis.
引用
收藏
页码：351 / 355
页数：4
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