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» Gene set analysis for longitudinal gene expression data
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BMCBI
2007
168views more  BMCBI 2007»
13 years 9 months ago
GOSim - an R-package for computation of information theoretic GO similarities between terms and gene products
Background: With the increased availability of high throughput data, such as DNA microarray data, researchers are capable of producing large amounts of biological data. During the...
Holger Fröhlich, Nora Speer, Annemarie Poustk...
WOB
2007
13 years 10 months ago
Gene Set Enrichment Analysis Using Non-parametric Scores
Abstract. Gene Set Enrichment Analysis (GSEA) is a well-known technique used for studying groups of functionally related genes and their correlation with phenotype. This method cre...
Ariel E. Bayá, Mónica G. Larese, Pab...
BMCBI
2005
163views more  BMCBI 2005»
13 years 8 months ago
Rank-invariant resampling based estimation of false discovery rate for analysis of small sample microarray data
Background: The evaluation of statistical significance has become a critical process in identifying differentially expressed genes in microarray studies. Classical p-value adjustm...
Nitin Jain, HyungJun Cho, Michael O'Connell, Jae K...
BMCBI
2004
131views more  BMCBI 2004»
13 years 8 months ago
Detection of chromosomal regions showing differential gene expression in human skeletal muscle and in alveolar rhabdomyosarcoma
Background: Rhabdomyosarcoma is a relatively common tumour of the soft tissue, probably due to regulatory disruption of growth and differentiation of skeletal muscle stem cells. I...
Andrea Bisognin, Stefania Bortoluzzi, Gian Antonio...
BMCBI
2008
138views more  BMCBI 2008»
13 years 9 months ago
M-BISON: Microarray-based integration of data sources using networks
Background: The accurate detection of differentially expressed (DE) genes has become a central task in microarray analysis. Unfortunately, the noise level and experimental variabi...
Bernie J. Daigle Jr., Russ B. Altman