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» A Parallel Algorithm for Gene Expressing Data Biclustering
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ICASSP
2008
IEEE
15 years 4 months ago
Probabilistic framework for gene expression clustering validation based on gene ontology and graph theory
Based on the correlation between expression and ontologydriven gene similarity, we incorporate functional annotations into gene expression clustering validation. A probabilistic f...
Yinyin Yuan, Chang-Tsun Li
BMCBI
2007
171views more  BMCBI 2007»
14 years 10 months ago
Classification of microarray data using gene networks
Background: Microarrays have become extremely useful for analysing genetic phenomena, but establishing a relation between microarray analysis results (typically a list of genes) a...
Franck Rapaport, Andrei Zinovyev, Marie Dutreix, E...
BMCBI
2002
101views more  BMCBI 2002»
14 years 10 months ago
Match-Only Integral Distribution (MOID) Algorithm for high-density oligonucleotide array analysis
Background: High-density oligonucleotide arrays have become a valuable tool for highthroughput gene expression profiling. Increasing the array information density and improving th...
Yingyao Zhou, Ruben Abagyan
99
Voted
BMCBI
2007
143views more  BMCBI 2007»
14 years 10 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
NIPS
2004
14 years 11 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