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ML
2008
ACM
150views Machine Learning» more  ML 2008»
13 years 5 months ago
Learning probabilistic logic models from probabilistic examples
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
Jianzhong Chen, Stephen Muggleton, José Car...
BMCBI
2007
80views more  BMCBI 2007»
13 years 5 months ago
A network perspective on the topological importance of enzymes and their phylogenetic conservation
Background: A metabolic network is the sum of all chemical transformations or reactions in the cell, with the metabolites being interconnected by enzyme-catalyzed reactions. Many ...
Wei-chung Liu, Wen-hsien Lin, Andrew J. Davis, Fer...
BMCBI
2008
242views more  BMCBI 2008»
13 years 5 months ago
annot8r: GO, EC and KEGG annotation of EST datasets
Background: The expressed sequence tag (EST) methodology is an attractive option for the generation of sequence data for species for which no completely sequenced genome is availa...
Ralf Schmid, Mark L. Blaxter
BMCBI
2008
128views more  BMCBI 2008»
13 years 4 months ago
In silico analysis of expressed sequence tags from Trichostrongylus vitrinus (Nematoda): comparison of the automated ESTExplorer
Background: The analysis of expressed sequence tags (EST) offers a rapid and cost effective approach to elucidate the transcriptome of an organism, but requires several computatio...
Shivashankar H. Nagaraj, Robin B. Gasser, Alasdair...
BMCBI
2006
104views more  BMCBI 2006»
13 years 5 months ago
MANET: tracing evolution of protein architecture in metabolic networks
Background: Cellular metabolism can be characterized by networks of enzymatic reactions and transport processes capable of supporting cellular life. Our aim is to find evolutionar...
Hee Shin Kim, Jay E. Mittenthal, Gustavo Caetano-A...