中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Learning module networks from genome-wide location and expression data

文献类型:期刊论文

作者Xu, XJ; Wang, LS; Ding, DF
刊名FEBS LETTERS
出版日期2004
卷号578期号:3页码:297-304
关键词module network regulatory program location probability
通讯作者Ding, DF (reprint author), Chinese Acad Sci, Grad Sch, Shanghai Inst Biol Sci, Inst Biochem & Cell Biol,Key Lab Proteom, Shanghai 200031, Peoples R China.,xjxu@sibs.ac.cn ; dingdafu@server.shcnc.ac.cn
英文摘要We develop a systematic algorithm for discovering network of regulatory modules, which identifies regulatory modules and their regulation program by integrating genome-wide location and expression data. Unlike previous approaches [Eisen, M.B., Spellman, P.T., Brown, P.O. and Botstein, D. (1998) Proc. Natl. Acad. Sci. USA 95, 14863-14868; Tavazoie, S., Hughes, J.D., Campbell, M.J., Cho, R.J. and Church, G.M. (1999) Nat. Genet. 22, 281-285; Ihmels, J., Friedlander, G., Bergmann, S., Sarig, O., Ziv, Y. and Barkai, N. (2002) Nat. Genet. 31, 370-377; Segal, E., Shapira, M., Regev, A., Pe'er, D., Botstein, D., Koller, D. and Friedman, N. (2003) Nat. Genet. 34, 166-176] that relied primarily on gene expression data, our algorithm regards the regulator binding data as prior knowledge that provide direct evidence of physical regulatory interactions. We applied the method to a Saccharomyces cerevisiae genome-wide location data [Lee, T.I., Rinaldi, N.J., Robert, F., Odom, D.T., Bar-Joseph, Z., Gerber, G.K., Hannett, N.M., Harbison, C.T., Thompson, C.M., Simon, L, Zeitlinger, J., Jennings, E.G., Murray, H.L. Gordon, D.B., Ren, B., Wyrick, J.J., Tagne, J.B., Volkert, T.L., Fraenkel, E., Gifford, D.K. and Young, R.A. (2002) Science 298, 799-804] for 106 DNA-binding transcription factors and 250 gene expression experiments under the conditions from the cell cycle to responses to various stress conditions. The results show that our method is able to identify functionally coherent modules and their proper regulators. Supplementary materials are available at http://compbio.sibsnet.org/ projects/module-network/. (C) 2004 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.
学科主题Biochemistry & Molecular Biology; Biophysics; Cell Biology
类目[WOS]Biochemistry & Molecular Biology ; Biophysics ; Cell Biology
关键词[WOS]YEAST SACCHAROMYCES-CEREVISIAE ; CATABOLITE REPRESSION ; REGULATORY NETWORKS ; BAYESIAN NETWORKS ; CLUSTER-ANALYSIS ; PROTEIN ; GENES ; IDENTIFICATION ; REPLICATION ; SUBUNIT
收录类别SCI
语种英语
WOS记录号WOS:000225939900018
版本出版稿
源URL[http://202.127.25.143/handle/331003/2049]  
专题上海生化细胞研究所_上海生科院生化细胞研究所
推荐引用方式
GB/T 7714
Xu, XJ,Wang, LS,Ding, DF. Learning module networks from genome-wide location and expression data[J]. FEBS LETTERS,2004,578(3):297-304.
APA Xu, XJ,Wang, LS,&Ding, DF.(2004).Learning module networks from genome-wide location and expression data.FEBS LETTERS,578(3),297-304.
MLA Xu, XJ,et al."Learning module networks from genome-wide location and expression data".FEBS LETTERS 578.3(2004):297-304.

入库方式: OAI收割

来源:上海生物化学与细胞生物学研究所

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