期刊
BIOINFORMATICS
卷 24, 期 19, 页码 2193-2199出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btn372
关键词
-
类别
资金
- National Science Foundation [DMS-0706818]
- NIH [R01 RGM080503A]
Motivation: Microarray experiments can be used to help study the role of chromosomal translocation in cancer development through cancer outlier detection. The aim is to identify genes that are up- or down-regulated in a subset of cancer samples in comparison to normal samples. Results: We propose a likelihood-based approach which targets detecting the change of point in mean expression intensity in the group of cancer samples. A desirable property of the proposed approach is the availability of theoretical significance-level results. Simulation studies showed that the performance of the proposed approach is appealing in terms of both detection power and false discovery rate. And the real data example also favored the likelihood-based approach in terms of the biological relevance of the results.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据