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BMCBI
2005
95views more  BMCBI 2005»
13 years 7 months ago
Commensurate distances and similar motifs in genetic congruence and protein interaction networks in yeast
Background: In a genetic interaction, the phenotype of a double mutant differs from the combined phenotypes of the underlying single mutants. When the single mutants have no growt...
Ping Ye, Brian D. Peyser, Forrest A. Spencer, Joel...
BMCBI
2010
154views more  BMCBI 2010»
13 years 7 months ago
Candidate gene prioritization by network analysis of differential expression using machine learning approaches
Background: Discovering novel disease genes is still challenging for diseases for which no prior knowledge - such as known disease genes or disease-related pathways - is available...
Daniela Nitsch, Joana P. Gonçalves, Fabian ...
BMCBI
2006
182views more  BMCBI 2006»
13 years 7 months ago
A database and tool, IM Browser, for exploring and integrating emerging gene and protein interaction data for Drosophila
Background: Biological processes are mediated by networks of interacting genes and proteins. Efforts to map and understand these networks are resulting in the proliferation of int...
Svetlana Pacifico, Guozhen Liu, Stephen Guest, Jod...
BIOINFORMATICS
2007
195views more  BIOINFORMATICS 2007»
13 years 7 months ago
Context-dependent clustering for dynamic cellular state modeling of microarray gene expression
Motivation: High-throughput expression profiling allows researchers to study gene activities globally. Genes with similar expression profiles are likely to encode proteins that ma...
Shinsheng Yuan, Ker-Chau Li
ICMLA
2008
13 years 8 months ago
Comprehensible Models for Predicting Molecular Interaction with Heart-Regulating Genes
When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...
Cecilia Sönströd, Ulf Johansson, Ulf Nor...