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» Removing the Genetics from the Standard Genetic Algorithm
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BMCBI
2010
191views more  BMCBI 2010»
14 years 9 months ago
Colonyzer: automated quantification of micro-organism growth characteristics on solid agar
Background: High-throughput screens comparing growth rates of arrays of distinct micro-organism cultures on solid agar are useful, rapid methods of quantifying genetic interaction...
Conor Lawless, Darren J. Wilkinson, Alexander Youn...
BMCBI
2010
113views more  BMCBI 2010»
14 years 9 months ago
Gene prioritization and clustering by multi-view text mining
Background: Text mining has become a useful tool for biologists trying to understand the genetics of diseases. In particular, it can help identify the most interesting candidate g...
Shi Yu, Léon-Charles Tranchevent, Bart De M...
BMCBI
2010
121views more  BMCBI 2010»
14 years 9 months ago
A Markov blanket-based method for detecting causal SNPs in GWAS
Background: Detecting epistatic interactions associated with complex and common diseases can help to improve prevention, diagnosis and treatment of these diseases. With the develo...
Bing Han, Meeyoung Park, Xue-wen Chen
BMCBI
2006
108views more  BMCBI 2006»
14 years 9 months ago
An improved map of conserved regulatory sites for Saccharomyces cerevisiae
Background: The regulatory map of a genome consists of the binding sites for proteins that determine the transcription of nearby genes. An initial regulatory map for S. cerevisiae...
Kenzie D. MacIsaac, Ting Wang, D. Benjamin Gordon,...
BMCBI
2007
147views more  BMCBI 2007»
14 years 9 months ago
Bias in random forest variable importance measures: Illustrations, sources and a solution
Variable importance measures for random forests have been receiving increased attention as a means of variable selection in many classification tasks in bioinformatics and relate...
Carolin Strobl, Anne-Laure Boulesteix, Achim Zeile...