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» Physical limits of inference
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BMCBI
2008
118views more  BMCBI 2008»
14 years 9 months ago
Virtual screening of GPCRs: An in silico chemogenomics approach
The G-protein coupled receptor (GPCR) superfamily is currently the largest class of therapeutic targets. In silico prediction of interactions between GPCRs and small molecules is ...
Laurent Jacob, Brice Hoffmann, Véronique St...
BMCBI
2008
142views more  BMCBI 2008»
14 years 9 months ago
Optimal neighborhood indexing for protein similarity search
Background: Similarity inference, one of the main bioinformatics tasks, has to face an exponential growth of the biological data. A classical approach used to cope with this data ...
Pierre Peterlongo, Laurent Noé, Dominique L...
BMCBI
2008
118views more  BMCBI 2008»
14 years 9 months ago
Drug interaction prediction using ontology-driven hypothetical assertion framework for pathway generation followed by numerical
Background: In accordance with the increasing amount of information concerning individual differences in drug response and molecular interaction, the role of in silico prediction ...
Takeshi Arikuma, Sumi Yoshikawa, Ryuzo Azuma, Kent...
BMCBI
2006
137views more  BMCBI 2006»
14 years 9 months ago
Bounded search for de novo identification of degenerate cis-regulatory elements
Background: The identification of statistically overrepresented sequences in the upstream regions of coregulated genes should theoretically permit the identification of potential ...
Jonathan M. Carlson, Arijit Chakravarty, Radhika S...
CORR
2006
Springer
153views Education» more  CORR 2006»
14 years 9 months ago
Genetic Programming, Validation Sets, and Parsimony Pressure
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
Christian Gagné, Marc Schoenauer, Marc Pari...