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» Semi-supervised protein classification using cluster kernels
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BMCBI
2008
167views more  BMCBI 2008»
14 years 9 months ago
Expression profiles of switch-like genes accurately classify tissue and infectious disease phenotypes in model-based classificat
Background: Large-scale compilation of gene expression microarray datasets across diverse biological phenotypes provided a means of gathering a priori knowledge in the form of ide...
Michael Gormley, Aydin Tozeren
BMCBI
2007
140views more  BMCBI 2007»
14 years 9 months ago
Evaluation of high-throughput functional categorization of human disease genes
Background: Biological data that are well-organized by an ontology, such as Gene Ontology, enables high-throughput availability of the semantic web. It can also be used to facilit...
James L. Chen, Yang Liu, Lee T. Sam, Jianrong Li, ...
BMCBI
2008
141views more  BMCBI 2008»
14 years 9 months ago
The development of PIPA: an integrated and automated pipeline for genome-wide protein function annotation
Background: Automated protein function prediction methods are needed to keep pace with high-throughput sequencing. With the existence of many programs and databases for inferring ...
Chenggang Yu, Nela Zavaljevski, Valmik Desai, Seth...
BMCBI
2010
123views more  BMCBI 2010»
14 years 9 months ago
A new protein binding pocket similarity measure based on comparison of clouds of atoms in 3D: application to ligand prediction
Background: Predicting which molecules can bind to a given binding site of a protein with known 3D structure is important to decipher the protein function, and useful in drug desi...
Brice Hoffmann, Mikhail Zaslavskiy, Jean-Philippe ...
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AUSAI
2008
Springer
14 years 11 months ago
Propositionalisation of Profile Hidden Markov Models for Biological Sequence Analysis
Hidden Markov Models are a widely used generative model for analysing sequence data. A variant, Profile Hidden Markov Models are a special case used in Bioinformatics to represent,...
Stefan Mutter, Bernhard Pfahringer, Geoffrey Holme...