Title :
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
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;
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
DOI :
10.1109/IEMBS.2004.1403834
