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161
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AI
2010
Springer
15 years 3 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
157
Voted
BMCBI
2010
121views more  BMCBI 2010»
15 years 3 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, ...
116
Voted
BMCBI
2010
129views more  BMCBI 2010»
15 years 3 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
142
Voted
BMCBI
2010
118views more  BMCBI 2010»
15 years 3 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...
156
Voted
BMCBI
2007
153views more  BMCBI 2007»
15 years 3 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...