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» Models and Methods in Comparative Genomics
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159
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BMCBI
2007
215views more  BMCBI 2007»
15 years 3 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
111
Voted
BMCBI
2006
111views more  BMCBI 2006»
15 years 3 months ago
Development of an unbiased statistical method for the analysis of unigenic evolution
Background: Unigenic evolution is a powerful genetic strategy involving random mutagenesis of a single gene product to delineate functionally important domains of a protein. This ...
Colleen D. Behrsin, Chris J. Brandl, David W. Litc...
118
Voted
BMCBI
2010
103views more  BMCBI 2010»
15 years 3 months ago
A method of predicting changes in human gene splicing induced by genetic variants in context of cis-acting elements
Background: Polymorphic variants and mutations disrupting canonical splicing isoforms are among the leading causes of human hereditary disorders. While there is a substantial evid...
Alexander G. Churbanov, Igor Vorechovsky, Chindo H...
111
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NAR
2008
74views more  NAR 2008»
15 years 3 months ago
Gene Ontology annotations at SGD: new data sources and annotation methods
The Saccharomyces Genome Database (SGD; http:// www.yeastgenome.org/) collects and organizes biological information about the chromosomal features and gene products of the budding...
Eurie L. Hong, Rama Balakrishnan, Qing Dong, Karen...
130
Voted
BMCBI
2010
100views more  BMCBI 2010»
15 years 3 months ago
A robust method for estimating gene expression states using Affymetrix microarray probe level data
Background: Microarray technology is a high-throughput method for measuring the expression levels of thousand of genes simultaneously. The observed intensities combine a non-speci...
Megu Ohtaki, Keiko Otani, Keiko Hiyama, Naomi Kame...