Evaluating bacterial gene-finding HMM structures as probabilistic logic programs

MOTIVATION: Probabilistic logic programming offers a powerful way to describe and evaluate structured statistical models. To investigate the practicality of probabilistic logic programming for structure learning in bioinformatics, we undertook a simplified bacterial gene-finding benchmark in PRISM,...

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Bibliographic Details
Published in:	Bioinformatics (Oxford, England) Vol. 28; no. 5; pp. 636 - 642
Main Authors:	Mørk, Søren, Holmes, Ian
Format:	Journal Article
Language:	English
Published:	Oxford Oxford University Press 01.03.2012
Subjects:	Algorithms Artificial Intelligence Bacillus subtilis - genetics bacteria bacterial proteins bioinformatics Biological and medical sciences Escherichia coli - genetics Fundamental and applied biological sciences. Psychology General aspects genes Genes, Bacterial Markov chain Markov Chains Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Models, Genetic Models, Statistical Original Papers prediction Programming Languages Sequence Alignment statistical models Structural gene Structure Bacteria
ISSN:	1367-4803, 1367-4811, 1367-4811
Online Access:	Get full text
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