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» Selecting maximally informative genes
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GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
15 years 5 months ago
Extraction of informative genes from microarray data
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
Topon Kumar Paul, Hitoshi Iba
TREC
2003
15 years 1 months ago
Searching for geneRIFs: Concept-Based Query Expansion and Bayes Classification
k gene annotations. Our indexing machinery produces per indexed MEDLINE abstract a list of concepts with an accompanying weight, termed a fingerprint. Searching is done by matching...
Rob Jelier, Martijn J. Schuemie, C. Christiaan van...
BMCBI
2010
102views more  BMCBI 2010»
14 years 11 months ago
Missing genes in the annotation of prokaryotic genomes
Background: Protein-coding gene detection in prokaryotic genomes is considered a much simpler problem than in intron-containing eukaryotic genomes. However there have been reports...
Andrew S. Warren, Jeremy S. Archuleta, Wu-chun Fen...
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
2006
142views more  BMCBI 2006»
14 years 11 months ago
Improving the Performance of SVM-RFE to Select Genes in Microarray Data
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
Yuanyuan Ding, Dawn Wilkins