Mining functional relationships in feature subspaces from gene expression profiles and drug activity profiles.
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 developed 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.
Bao
Lei
L
Institute of Bioinformatics, Department of Biological Sciences and Biotechnology, Tsinghua University, 100084, Beijing, PR China.
Guo
Tao
T
Sun
Zhirong
Z
D000970:Antineoplastic Agents / Q000494:pharmacology*; D003627:Data Interpretation, Statistical; D015870:Gene Expression / Q000187:drug effects; D020869:Gene Expression Profiling / Q000706:statistics & numerical data; D006801:Humans; D008954:Models, Biological; D009369:Neoplasms / Q000188:drug therapy / Q000235:genetics; D014407:Tumor Cells, Cultured
D000970:Antineoplastic Agents