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BIOINFORMATICS
2006
89views more  BIOINFORMATICS 2006»
13 years 8 months ago
Maximum significance clustering of oligonucleotide microarrays
Affymetrix high-density oligonucleotide microarrays measure expression of DNA transcripts using probesets, i.e. multiple probes per transcript. Usually, these multiple measurement...
Dick de Ridder, Frank J. T. Staal, Jacques J. M. v...
NIPS
2004
13 years 9 months ago
PAC-Bayes Learning of Conjunctions and Classification of Gene-Expression Data
We propose a "soft greedy" learning algorithm for building small conjunctions of simple threshold functions, called rays, defined on single real-valued attributes. We al...
Mario Marchand, Mohak Shah
BMCBI
2008
123views more  BMCBI 2008»
13 years 8 months ago
Statistical methodology for the analysis of dye-switch microarray experiments
Background: In individually dye-balanced microarray designs, each biological sample is hybridized on two different slides, once with Cy3 and once with Cy5. While this strategy ens...
Tristan Mary-Huard, Julie Aubert, Nadera Mansouri-...
BMCBI
2007
143views more  BMCBI 2007»
13 years 8 months ago
Gene selection for classification of microarray data based on the Bayes error
Background: With DNA microarray data, selecting a compact subset of discriminative genes from thousands of genes is a critical step for accurate classification of phenotypes for, ...
Ji-Gang Zhang, Hong-Wen Deng
BMCBI
2005
112views more  BMCBI 2005»
13 years 8 months ago
Visualization methods for statistical analysis of microarray clusters
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...