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» Gene set analysis for longitudinal gene expression data
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BMCBI
2007
171views more  BMCBI 2007»
15 years 7 days 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...
KDD
2004
ACM
302views Data Mining» more  KDD 2004»
16 years 19 days 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
BMCBI
2010
126views more  BMCBI 2010»
15 years 10 days ago
GeneBrowser 2: an application to explore and identify common biological traits in a set of genes
Background: The development of high-throughput laboratory techniques created a demand for computer-assisted result analysis tools. Many of these techniques return lists of genes w...
Joel Arrais, João Fernandes, João Pe...
BMCBI
2006
181views more  BMCBI 2006»
15 years 8 days ago
Array2BIO: from microarray expression data to functional annotation of co-regulated genes
Background: There are several isolated tools for partial analysis of microarray expression data. To provide an integrative, easy-to-use and automated toolkit for the analysis of A...
Gabriela G. Loots, Patrick S. G. Chain, Shalini Ma...
BMCBI
2010
100views more  BMCBI 2010»
15 years 10 days ago
A robust method for estimating gene expression states using Affymetrix microarray probe level data
Background: Microarray technology is a high-throughput method for measuring the expression levels of thousand of genes simultaneously. The observed intensities combine a non-speci...
Megu Ohtaki, Keiko Otani, Keiko Hiyama, Naomi Kame...