Interdisciplinary Bio Central
 
Etc. (Bioinformatics/Computational biology/Molecular modeling)

Inferring candidate regulatory networks in human breast cancer cells
Juhyun Jeong1 and Doheon Lee1,*
1Department of Biosystems., Korea Advanced Institute of Science and Technology (KAIST)
*Corresponding author
  Published : February 28, 2007
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Main text PDF(496.KB)
(pre-print version)
Synopsis

Human cell regulatory mechanism is one of suspicious problems among biologists. Here we tried to uncover the human breast cancer cell regulatory mechanism from gene expression data (Marc J. Van de vijver, et.al.,2002) using a module network algorithm which is suggested by Segal, et. al.(2003) Finally, we derived a module network which consists of 50 modules and 10 tree depths. Moreover, to validate this candidate network, we applied a GO enrichment test and known transcription factor-target relationships from Transfac® (V. Matys, et.al, 2006) and HPRD database (Peri, S. et al. ,2003).

Keyword: Gene regulatory Network, Breast Cancer, Module network
IBC   ISSN : 2005-8543   Contact IBC