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BMCBI
2010
179views more  BMCBI 2010»
14 years 11 months ago
A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties
Background: Genetic interaction profiles are highly informative and helpful for understanding the functional linkages between genes, and therefore have been extensively exploited ...
Zhuhong You, Zheng Yin, Kyungsook Han, De-Shuang H...
BMCBI
2010
277views more  BMCBI 2010»
14 years 11 months ago
PCA2GO: a new multivariate statistics based method to identify highly expressed GO-Terms
Background: Several tools have been developed to explore and search Gene Ontology (GO) databases allowing efficient GO enrichment analysis and GO tree visualization. Nevertheless,...
Marc Bruckskotten, Mario Looso, Franz Cemic, Anne ...
BMCBI
2008
126views more  BMCBI 2008»
14 years 11 months ago
Combining Shapley value and statistics to the analysis of gene expression data in children exposed to air pollution
Background: In gene expression analysis, statistical tests for differential gene expression provide lists of candidate genes having, individually, a sufficiently low p-value. Howe...
Stefano Moretti, Danitsja van Leeuwen, Hans Gmuend...
BMCBI
2007
134views more  BMCBI 2007»
14 years 11 months ago
Benchmarking natural-language parsers for biological applications using dependency graphs
Background: Interest is growing in the application of syntactic parsers to natural language processing problems in biology, but assessing their performance is difficult because di...
Andrew B. Clegg, Adrian J. Shepherd
BMCBI
2008
154views more  BMCBI 2008»
14 years 11 months ago
Bayesian models and meta analysis for multiple tissue gene expression data following corticosteroid administration
Background: This paper addresses key biological problems and statistical issues in the analysis of large gene expression data sets that describe systemic temporal response cascade...
Yulan Liang, Arpad Kelemen
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