Mining functional relationships in feature subspaces from gene expression profiles and drug activity profiles

被引：7

作者：

Bao, L ^{[1
]}

Guo, T ^{[1
]}

Sun, ZR ^{[1
]}

机构：

[1] Tsing Hua Univ, Dept Biol Sci & Biotechnol, Inst Bioinformat, Beijing 100084, Peoples R China

来源：

FEBS LETTERS | 2002年 / 516卷 / 1-3期

关键词：

drug activity; gene expression; feature subspace; local association;

D O I：

10.1016/S0014-5793(02)02515-2

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

In an effort to determine putative functional relationships between gene expression patterns and drug activity patterns of 60 human cancer cell lines, a novel method was de;eloped to discover local associations within cell line subsets. The association of drug-gene pairs is an explorative way of discovering gene markers that predict clinical tumor sensitivity to therapy. Nine drug-gene networks were discovered, as well as dozens of gene-gene and drug-drug networks. Three drug-gene networks with well studied members were discussed and the literature shows that hypothetical functional relationships exist. Therefore, this method enables the gathering of new information beyond global associations. (C) 2002 Federation of European Biochemical Societies. Published by Elsevier Science B.V. All rights reserved.

引用

页码：113 / 118

页数：6

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