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114
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BMCBI
2007
148views more  BMCBI 2007»
15 years 25 days ago
Computation of significance scores of unweighted Gene Set Enrichment Analyses
Background: Gene Set Enrichment Analysis (GSEA) is a computational method for the statistical evaluation of sorted lists of genes or proteins. Originally GSEA was developed for in...
Andreas Keller, Christina Backes, Hans-Peter Lenho...
134
Voted
BMCBI
2010
153views more  BMCBI 2010»
15 years 29 days ago
GOAL: A software tool for assessing biological significance of genes groups
Background: Modern high throughput experimental techniques such as DNA microarrays often result in large lists of genes. Computational biology tools such as clustering are then us...
Alain B. Tchagang, Alexander Gawronski, Hugo B&eac...
98
Voted
ALMOB
2008
93views more  ALMOB 2008»
15 years 29 days ago
A weighted average difference method for detecting differentially expressed genes from microarray data
Background: Identification of differentially expressed genes (DEGs) under different experimental conditions is an important task in many microarray studies. However, choosing whic...
Koji Kadota, Yuji Nakai, Kentaro Shimizu
84
Voted
CSB
2004
IEEE
164views Bioinformatics» more  CSB 2004»
15 years 4 months ago
Biclustering in Gene Expression Data by Tendency
The advent of DNA microarray technologies has revolutionized the experimental study of gene expression. Clustering is the most popular approach of analyzing gene expression data a...
Jinze Liu, Jiong Yang, Wei Wang 0010
106
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BMCBI
2006
92views more  BMCBI 2006»
15 years 27 days ago
Predicting survival outcomes using subsets of significant genes in prognostic marker studies with microarrays
Background: Genetic markers hold great promise for refining our ability to establish precise prognostic prediction for diseases. The development of comprehensive gene expression m...
Shigeyuki Matsui