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» Combined Gene Selection Methods for Microarray Data Analysis
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BMCBI
2010
124views more  BMCBI 2010»
14 years 12 months ago
Comparative analysis of acute and chronic corticosteroid pharmacogenomic effects in rat liver: Transcriptional dynamics and regu
Background: Comprehensively understanding corticosteroid pharmacogenomic effects is an essential step towards an insight into the underlying molecular mechanisms for both benefici...
Tung T. Nguyen, Richard R. Almon, Debra C. DuBois,...
BMCBI
2006
122views more  BMCBI 2006»
14 years 12 months ago
Computational reconstruction of transcriptional regulatory modules of the yeast cell cycle
Background: A transcriptional regulatory module (TRM) is a set of genes that is regulated by a common set of transcription factors (TFs). By organizing the genome into TRMs, a liv...
Wei-Sheng Wu, Wen-Hsiung Li, Bor-Sen Chen
BMCBI
2008
108views more  BMCBI 2008»
14 years 12 months ago
SPRINT: A new parallel framework for R
Background: Microarray analysis allows the simultaneous measurement of thousands to millions of genes or sequences across tens to thousands of different samples. The analysis of t...
Jon Hill, Matthew Hambley, Thorsten Forster, Murie...
WABI
2010
Springer
167views Bioinformatics» more  WABI 2010»
14 years 10 months ago
Quantifying the Strength of Natural Selection of a Motif Sequence
Quantification of selective pressures on regulatory sequences is a central question in studying the evolution of gene regulatory networks. Previous methods focus primarily on sing...
Chen-Hsiang Yeang
CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
15 years 5 months ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali