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» Inferring Genetic Networks from Microarray Data
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JAMIA
2011
98views more  JAMIA 2011»
14 years 4 months ago
Mapping clinical phenotype data elements to standardized metadata repositories and controlled terminologies: the eMERGE Network
Background Systematic study of clinical phenotypes is important for a better understanding of the genetic basis of human diseases and more effective gene-based disease management....
Jyotishman Pathak, Janey Wang, Sudha Kashyap, Meli...
BMCBI
2010
110views more  BMCBI 2010»
15 years 1 months ago
Missing value imputation for epistatic MAPs
Background: Epistatic miniarray profiling (E-MAPs) is a high-throughput approach capable of quantifying aggravating or alleviating genetic interactions between gene pairs. The dat...
Colm Ryan, Derek Greene, Gerard Cagney, Padraig Cu...
BMCBI
2008
94views more  BMCBI 2008»
15 years 1 months ago
Conserved co-expression for candidate disease gene prioritization
Background: Genes that are co-expressed tend to be involved in the same biological process. However, co-expression is not a very reliable predictor of functional links between gen...
Martin Oti, Jeroen van Reeuwijk, Martijn A. Huynen...
RECOMB
2006
Springer
16 years 1 months ago
Genome-Wide Discovery of Modulators of Transcriptional Interactions in Human B Lymphocytes
Abstract. Transcriptional interactions in a cell are modulated by a variety of mechanisms that prevent their representation as pure pairwise interactions between a transcription fa...
Kai Wang, Ilya Nemenman, Nilanjana Banerjee, Adam ...
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BMCBI
2008
160views more  BMCBI 2008»
15 years 1 months ago
Feature selection environment for genomic applications
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
Fabrício Martins Lopes, David Correa Martin...