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RECOMB
2004
Springer
14 years 7 months ago
Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response
We present a novel classification-based algorithm called GeneClass for learning to predict gene regulatory response. Our approach is motivated by the hypothesis that in simple orga...
Manuel Middendorf, Anshul Kundaje, Chris Wiggins, ...
BIODATAMINING
2008
140views more  BIODATAMINING 2008»
13 years 6 months ago
Modeling gene-by-environment interaction in comorbid depression with alcohol use disorders via an integrated bioinformatics appr
Background: Comorbidity of Major Depressive Disorder (depression) and Alcohol Use Disorders (AUD) is well documented. Depression, AUD, and the comorbidity of depression with AUD s...
Richard C. McEachin, Benjamin J. Keller, Erika F. ...
BMCBI
2008
83views more  BMCBI 2008»
13 years 6 months ago
Integrative bioinformatics analysis of transcriptional regulatory programs in breast cancer cells
Background: Microarray technology has unveiled transcriptomic differences among tumors of various phenotypes, and, especially, brought great progress in molecular understanding of...
Atsushi Niida, Andrew D. Smith, Seiya Imoto, Shuic...
BMCBI
2008
129views more  BMCBI 2008»
13 years 6 months ago
Motif-directed network component analysis for regulatory network inference
Background: Network Component Analysis (NCA) has shown its effectiveness in discovering regulators and inferring transcription factor activities (TFAs) when both microarray data a...
Chen Wang, Jianhua Xuan, Li Chen, Po Zhao, Yue Wan...
BMCBI
2010
219views more  BMCBI 2010»
13 years 1 months ago
BiologicalNetworks 2.0 - an integrative view of genome biology data
Background: A significant problem in the study of mechanisms of an organism's development is the elucidation of interrelated factors which are making an impact on the differe...
Sergey Kozhenkov, Yulia Dubinina, Mayya Sedova, Am...