DocumentCode
441999
Title
Reconstruct gene regulatory subnetwork in yeast cell cycle using a novel approach
Author
Jiang, Wei ; Li, Xia ; Wang, Li-Hong ; Rao, Shao-Qi ; Du, Lei
Author_Institution
Dept. of Bioinformatics, Harbin Med. Univ., China
Volume
6
fYear
2005
fDate
18-21 Aug. 2005
Firstpage
3382
Abstract
It is one of the ultimate goals for modern biological research to fully elucidate the intricate interplays and the regulations of the molecular. We have thus developed a unified and powerful approach termed MTdGRN (multiple time-delayed gene regulatory network) to discover the underlying gene regulations that can span any unit(s) of time intervals. A decision tree was used to extract the time-delayed regulations between genes based on the temporal gene expression profiles. We have applied the proposed method to S. cerevisiae cell cycle and have discovered most of the underlying multiple-time delayed regulations that are supported by multiple lines of experiments evidence and the current knowledge on phase characteristics for the cell cycling.
Keywords
biology computing; cellular biophysics; data mining; decision trees; genetics; S. cerevisiae cell cycle; decision tree; multiple time-delayed gene regulatory network; temporal gene expression profile; time-delayed regulation; yeast cell cycle; Bioinformatics; Biological processes; Cardiology; Cells (biology); Decision trees; Delay effects; Diseases; Fungi; Gene expression; Organisms; Decision tree; Gene expression; Gene network; Multiple time-delayed;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location
Guangzhou, China
Print_ISBN
0-7803-9091-1
Type
conf
DOI
10.1109/ICMLC.2005.1527526
Filename
1527526
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