期刊
BIOINFORMATICS
卷 25, 期 9, 页码 1099-1104出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btp132
关键词
-
类别
资金
- Dutch Cancer Society [KWF-VU 2007-3974]
- Belgian program of Interuniversity Poles of Attraction
- European Community [037260]
- IWT-Vlaanderen [60848]
Motivation: Many high-resolution array comparative genomic hybridization tumor profiles contain a wave bias, which makes accurate detection of breakpoints in such profiles more difficult. Results: An efficient and highly effective algorithm that largely removes the wave bias from tumor profiles by regressing the tumor profile data on data of profiles from the clinical genetics practice. Results are illustrated on two independent datasets. The algorithm is shown to be robust against the presence of true copy number aberrations. Moreover, the smoothed profiles are able to recapitulate the aberration location and signal for simulated tumor profiles.
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