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KDD
2004
ACM
302views Data Mining» more  KDD 2004»
14 years 6 months ago
Redundancy based feature selection for microarray data
In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...
Lei Yu, Huan Liu
KDD
2003
ACM
190views Data Mining» more  KDD 2003»
14 years 6 months ago
Distance-enhanced association rules for gene expression
We introduce a novel data mining technique for the analysis of gene expression. Gene expression is the effective production of the protein that a gene encodes. We focus on the cha...
Aleksandar Icev, Carolina Ruiz, Elizabeth F. Ryder
DMKD
2003
ACM
96views Data Mining» more  DMKD 2003»
13 years 11 months ago
Using transposition for pattern discovery from microarray data
We analyze expression matrices to identify a priori interesting sets of genes, e.g., genes that are frequently co-regulated. Such matrices provide expression values for given biol...
François Rioult, Jean-François Bouli...
NAR
2002
141views more  NAR 2002»
13 years 5 months ago
Co-expression pattern from DNA microarray experiments as a tool for operon prediction
The prediction of operons, the smallest unit of transcription in prokaryotes, is the first step towards reconstruction of a regulatory network at the whole genome level. Sequence ...
Chiara Sabatti, Lars Rohlin, Min-Kyu Oh, James C. ...
BMCBI
2007
124views more  BMCBI 2007»
13 years 5 months ago
BranchClust: a phylogenetic algorithm for selecting gene families
Background: Automated methods for assembling families of orthologous genes include those based on sequence similarity scores and those based on phylogenetic approaches. The first ...
Maria S. Poptsova, J. Peter Gogarten