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122
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BMCBI
2007
135views more  BMCBI 2007»
15 years 2 months ago
Detecting multivariate differentially expressed genes
Background: Gene expression is governed by complex networks, and differences in expression patterns between distinct biological conditions may therefore be complex and multivariat...
Roland Nilsson, José M. Peña, Johan ...
BMCBI
2004
207views more  BMCBI 2004»
15 years 1 months ago
Computational identification of transcription factor binding sites by functional analysis of sets of genes sharing overrep-resen
Background: Transcriptional regulation is a key mechanism in the functioning of the cell, and is mostly effected through transcription factors binding to specific recognition moti...
Davide Corà, Ferdinando Di Cunto, Paolo Pro...
124
Voted
BIODATAMINING
2008
178views more  BIODATAMINING 2008»
15 years 2 months ago
Clustering-based approaches to SAGE data mining
Serial analysis of gene expression (SAGE) is one of the most powerful tools for global gene expression profiling. It has led to several biological discoveries and biomedical appli...
Haiying Wang, Huiru Zheng, Francisco Azuaje
KDD
2005
ACM
130views Data Mining» more  KDD 2005»
16 years 2 months ago
Simple and effective visual models for gene expression cancer diagnostics
In the paper we show that diagnostic classes in cancer gene expression data sets, which most often include thousands of features (genes), may be effectively separated with simple ...
Gregor Leban, Minca Mramor, Ivan Bratko, Blaz Zupa...
118
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BMCBI
2010
106views more  BMCBI 2010»
15 years 2 months ago
A computational evaluation of over-representation of regulatory motifs in the promoter regions of differentially expressed genes
Background: Observed co-expression of a group of genes is frequently attributed to co-regulation by shared transcription factors. This assumption has led to the hypothesis that pr...
Guofeng Meng, Axel Mosig, Martin Vingron