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ICCAD
2005
IEEE
81views Hardware» more  ICCAD 2005»
14 years 1 months ago
Kauffman networks: analysis and applications
Abstract— A Kauffman network is an abstract model of gene regulatory networks. Each gene is represented by a vertex. An edge from one vertex to another implies that the former ge...
Elena Dubrova, Maxim Teslenko, Andrés Marti...
BMCBI
2010
97views more  BMCBI 2010»
13 years 5 months ago
Dual-functioning transcription factors in the developmental gene network of Drosophila melanogaster
Background: Quantitative models for transcriptional regulation have shown great promise for advancing our understanding of the biological mechanisms underlying gene regulation. Ho...
Denis C. Bauer, Fabian A. Buske, Timothy L. Bailey
BIOINFORMATICS
2006
124views more  BIOINFORMATICS 2006»
13 years 4 months ago
Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities
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, Neil D. Lawrence, Magnus Rattra...
BMCBI
2006
75views more  BMCBI 2006»
13 years 4 months ago
A machine learning strategy to identify candidate binding sites in human protein-coding sequence
Background: The splicing of RNA transcripts is thought to be partly promoted and regulated by sequences embedded within exons. Known sequences include binding sites for SR protein...
Thomas Down, Bernard Leong, Tim J. P. Hubbard
JCB
2006
185views more  JCB 2006»
13 years 4 months ago
A Probabilistic Methodology for Integrating Knowledge and Experiments on Biological Networks
Biological systems are traditionally studied by focusing on a specific subsystem, building an intuitive model for it, and refining the model using results from carefully designed ...
Irit Gat-Viks, Amos Tanay, Daniela Raijman, Ron Sh...