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» Gene set analysis for longitudinal gene expression data
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BMCBI
2004
119views more  BMCBI 2004»
13 years 8 months ago
Genome SEGE: A database for 'intronless' genes in eukaryotic genomes
Background: A number of completely sequenced eukaryotic genome data are available in the public domain. Eukaryotic genes are either 'intron containing' or 'intronle...
Meena K. Sakharkar, Pandjassarame Kangueane
NN
2007
Springer
267views Neural Networks» more  NN 2007»
13 years 8 months ago
Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
Rui Xu, Ganesh K. Venayagamoorthy, Donald C. Wunsc...
IJDMB
2008
132views more  IJDMB 2008»
13 years 8 months ago
A Bayesian framework for knowledge driven regression model in micro-array data analysis
: This paper addresses the sparse data problem in the linear regression model, namely the number of variables is significantly larger than the number of the data points for regress...
Rong Jin, Luo Si, Christina Chan
BMCBI
2008
128views more  BMCBI 2008»
13 years 8 months ago
In silico analysis of expressed sequence tags from Trichostrongylus vitrinus (Nematoda): comparison of the automated ESTExplorer
Background: The analysis of expressed sequence tags (EST) offers a rapid and cost effective approach to elucidate the transcriptome of an organism, but requires several computatio...
Shivashankar H. Nagaraj, Robin B. Gasser, Alasdair...
BMCBI
2008
85views more  BMCBI 2008»
13 years 9 months ago
Merging microarray data from separate breast cancer studies provides a robust prognostic test
Background: There is an urgent need for new prognostic markers of breast cancer metastases to ensure that newly diagnosed patients receive appropriate therapy. Recent studies have...
Lei Xu, Aik Choon Tan, Raimond L. Winslow, Donald ...