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
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;
Conference_Titel :
Computational Systems Bioinformatics Conference, 2005. Workshops and Poster Abstracts. IEEE
Print_ISBN :
0-7695-2442-7
DOI :
10.1109/CSBW.2005.72