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» Multivariate gene selection: Does it help
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CSB
2005
IEEE
143views Bioinformatics» more  CSB 2005»
13 years 10 months ago
Multivariate gene selection: Does it help
When building predictors of disease state based on gene expression data, gene selection is performed in order to achieve a good performance and to identify a relevant subset of ge...
Carmen Lai, Marcel J. T. Reinders
BMCBI
2007
111views more  BMCBI 2007»
13 years 4 months ago
MotifCombinator: a web-based tool to search for combinations of cis-regulatory motifs
Background: A combination of multiple types of transcription factors and cis-regulatory elements is often required for gene expression in eukaryotes, and the combinatorial regulat...
Mamoru Kato, Tatsuhiko Tsunoda
BMCBI
2007
174views more  BMCBI 2007»
13 years 4 months ago
Inferring activity changes of transcription factors by binding association with sorted expression profiles
Background: The identification of transcription factors (TFs) associated with a biological process is fundamental to understanding its regulatory mechanisms. From microarray data,...
Chao Cheng, Xiting Yan, Fengzhu Sun, Lei M. Li
BMCBI
2007
164views more  BMCBI 2007»
13 years 4 months ago
SEARCHPATTOOL: a new method for mining the most specific frequent patterns for binding sites with application to prokaryotic DNA
Background: Computational methods to predict transcription factor binding sites (TFBS) based on exhaustive algorithms are guaranteed to find the best patterns but are often limite...
Fathi Elloumi, Martha Nason
IBPRIA
2007
Springer
13 years 10 months ago
On the Detection of Regions-of-Interest in Dynamic Contrast-Enhanced MRI
Multivariate imaging technologies such as Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) have recently gained an important attention as it improves tumour detection...
David Raba, Marta Peracaula, Robert Marti, Joan Ma...