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» A Gene Network Model for Developing Cell Lineages
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BMCBI
2008
160views more  BMCBI 2008»
13 years 7 months ago
Predicting cancer involvement of genes from heterogeneous data
Background: Systematic approaches for identifying proteins involved in different types of cancer are needed. Experimental techniques such as microarrays are being used to characte...
Ramon Aragues, Chris Sander, Baldo Oliva
BIOINFORMATICS
2006
118views more  BIOINFORMATICS 2006»
13 years 7 months ago
A probabilistic dynamical model for quantitative inference of the regulatory mechanism of transcription
Motivation Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular...
Guido Sanguinetti, Magnus Rattray, Neil D. Lawrenc...
BMCBI
2011
13 years 2 months ago
Motif-guided sparse decomposition of gene expression data for regulatory module identification
Background: Genes work coordinately as gene modules or gene networks. Various computational approaches have been proposed to find gene modules based on gene expression data; for e...
Ting Gong, Jianhua Xuan, Li Chen, Rebecca B. Riggi...
CMA
2010
87views more  CMA 2010»
13 years 5 months ago
A modified uniformization method for the solution of the chemical master equation
The chemical master equation is considered an accurate description of general chemical systems, and especially so for modeling cell cycle and gene regulatory networks. This paper ...
Jingwei Zhang, Layne T. Watson, Yang Cao
BMCBI
2002
214views more  BMCBI 2002»
13 years 7 months ago
Automated modelling of signal transduction networks
Background: Intracellular signal transduction is achieved by networks of proteins and small molecules that transmit information from the cell surface to the nucleus, where they ul...
Martin Steffen, Allegra Petti, John Aach, Patrik D...