Network component analysis of Saccharamyces cerevisiae stress response

Author

Yang, Young-Lyeol ; Liao, James C.

Author_Institution

Dept. of Chem. Eng., California Univ., Los Angeles, CA, USA

Volume

2

fYear

2004

fDate

1-5 Sept. 2004

Firstpage

2937

Lastpage

2940

Abstract

A method, network component analysis, was developed for uncovering hidden regulatory signals from outputs of networked systems, when only partial knowledge of the underlying network topology is available. This method was successfully applied to microarray data of yeast Saccharamyces cerevisiae under various stress conditions. The activities of 96 transcription factors were determined, which differ significantly from their gene expression patterns.

Keywords

biochemistry; cellular biophysics; genetics; matrix algebra; microorganisms; molecular biophysics; gene expression patterns; hidden regulatory signals; microarray data; network component analysis; network topology; transcription factors; yeast Saccharamyces cerevisiae stress response; Bioinformatics; Constraint optimization; Electric shock; Fungi; Genomics; Information analysis; Pattern analysis; Regulators; Stress; USA Councils; Network component analysis; microarray; stress response; transcription factor;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE

Conference_Location

San Francisco, CA

Print_ISBN

0-7803-8439-3

Type

conf

DOI

10.1109/IEMBS.2004.1403834

Filename

1403834