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BMCBI
2010
143views more  BMCBI 2010»
13 years 5 months ago
Learning gene regulatory networks from only positive and unlabeled data
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...
Luigi Cerulo, Charles Elkan, Michele Ceccarelli
ISMB
2007
13 years 7 months ago
Connecting quantitative regulatory-network models to the genome
Yue Pan, Tim Durfee, Joseph Bockhorst, Mark Craven
WABI
2010
Springer
167views Bioinformatics» more  WABI 2010»
13 years 3 months ago
Quantifying the Strength of Natural Selection of a Motif Sequence
Quantification of selective pressures on regulatory sequences is a central question in studying the evolution of gene regulatory networks. Previous methods focus primarily on sing...
Chen-Hsiang Yeang
BIOINFORMATICS
2002
146views more  BIOINFORMATICS 2002»
13 years 5 months ago
A duplication growth model of gene expression networks
Motivation: There has been considerable interest in developing computational techniques for inferring genetic regulatory networks from whole-genome expression profiles. When expre...
Ashish Bhan, David J. Galas, T. Gregory Dewey
BMCBI
2004
115views more  BMCBI 2004»
13 years 5 months ago
Quantifying the relationship between co-expression, co-regulation and gene function
Background: It is thought that genes with similar patterns of mRNA expression and genes with similar functions are likely to be regulated via the same mechanisms. It has been diff...
Dominic J. Allocco, Isaac S. Kohane, Atul J. Butte