DocumentCode
2528163
Title
Identifying local gene expression patterns in biomolecular networks
Author
Sivachenko, A.Y. ; Yuryev, A. ; Daraselia, N. ; Mazo, I.
Author_Institution
Ariadne Genomics, Inc.,, Rockville, MD, USA
fYear
2005
fDate
8-11 Aug. 2005
Firstpage
180
Lastpage
181
Abstract
This study is aimed at elucidating putative transcription regulators (TRs) responsible for the observed differential expression pattern. Combined direct promoter binding and indirect transcriptional regulation networks were used, and the expression levels of each TR´s downstream targets were collectively analyzed, as a sample, for significance. Statistical procedure was also developed that takes into account the sign of the expression change, thus requiring the downstream targets to exhibit expression pattern consistent with the regulatory relationship effect signs.
Keywords
biology computing; genetics; molecular biophysics; statistical analysis; biomolecular network; direct promoter binding; gene expression pattern; indirect transcriptional regulation network; statistical model; Bioinformatics; Gene expression; Genomics; Intelligent networks; Large-scale systems; Noise level; Performance analysis; Regulators; Sampling methods; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Systems Bioinformatics Conference, 2005. Workshops and Poster Abstracts. IEEE
Print_ISBN
0-7695-2442-7
Type
conf
DOI
10.1109/CSBW.2005.72
Filename
1540590
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