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AI
2010
Springer
14 years 10 months ago
Understanding the scalability of Bayesian network inference using clique tree growth curves
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
Ole J. Mengshoel
BMCBI
2010
121views more  BMCBI 2010»
14 years 10 months ago
Reconstructing genome trees of prokaryotes using overlapping genes
Background: Overlapping genes (OGs) are defined as adjacent genes whose coding sequences overlap partially or entirely. In fact, they are ubiquitous in microbial genomes and more ...
Chih-Hsien Cheng, Chung-Han Yang, Hsien-Tai Chiu, ...
BMCBI
2010
129views more  BMCBI 2010»
14 years 10 months ago
Automatic prediction of catalytic residues by modeling residue structural neighborhood
Background: Prediction of catalytic residues is a major step in characterizing the function of enzymes. In its simpler formulation, the problem can be cast into a binary classific...
Elisa Cilia, Andrea Passerini
BMCBI
2010
118views more  BMCBI 2010»
14 years 10 months ago
From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...
Bram Slabbinck, Willem Waegeman, Peter Dawyndt, Pa...
BMCBI
2007
153views more  BMCBI 2007»
14 years 10 months ago
Estimating genealogies from linked marker data: a Bayesian approach
Background: Answers to several fundamental questions in statistical genetics would ideally require knowledge of the ancestral pedigree and of the gene flow therein. A few examples...
Dario Gasbarra, Matti Pirinen, Mikko J. Sillanp&au...