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» Classification of microarray data using gene networks
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131
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BMCBI
2008
162views more  BMCBI 2008»
15 years 4 months ago
Background correction using dinucleotide affinities improves the performance of GCRMA
Background: High-density short oligonucleotide microarrays are a primary research tool for assessing global gene expression. Background noise on microarrays comprises a significan...
Raad Z. Gharaibeh, Anthony Fodor, Cynthia Gibas
NAR
2002
138views more  NAR 2002»
15 years 3 months ago
The KEGG databases at GenomeNet
The Kyoto Encyclopedia of Genes and Genomes (KEGG) is the primary database resource of the Japanese GenomeNet service (http://www.genome.ad.jp/) for understanding higher order fun...
Minoru Kanehisa, Susumu Goto, Shuichi Kawashima, A...
153
Voted
ISDA
2008
IEEE
15 years 10 months ago
Combining Clustering and Bayesian Network for Gene Network Inference
Gene network reconstruction is a multidisciplinary research area involving data mining, machine learning, statistics, ontologies and others. Reconstructed gene network allows us t...
Suhaila Zainudin, Safaai Deris
142
Voted
BIBM
2007
IEEE
171views Bioinformatics» more  BIBM 2007»
15 years 10 months ago
GenMiner: Mining Informative Association Rules from Genomic Data
GENMINER is a smart adaptation of closed itemsets based association rules extraction to genomic data. It takes advantage of the novel NORDI discretization method and of the CLOSE ...
Ricardo Martínez, Claude Pasquier, Nicolas ...
KDD
2004
ACM
237views Data Mining» more  KDD 2004»
16 years 4 months ago
Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
Mario Medvedovic, Junhai Guo