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AI
2010
Springer
13 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
AI
2007
Springer
13 years 10 months ago
Learning action models from plan examples using weighted MAX-SAT
AI planning requires the definition of action models using a formal action and plan description language, such as the standard Planning Domain Definition Language (PDDL), as inp...
Qiang Yang, Kangheng Wu, Yunfei Jiang
BIOINFORMATICS
2008
203views more  BIOINFORMATICS 2008»
13 years 10 months ago
The SGN comparative map viewer
Background: A common approach to understanding the genetic basis of complex traits is through identification of associated quantitative trait loci (QTL). Fine mapping QTLs require...
Lukas A. Mueller, Adri A. Mills, Beth Skwarecki, R...
BMCBI
2010
148views more  BMCBI 2010»
13 years 10 months ago
Calling SNPs without a reference sequence
Background: The most common application for the next-generation sequencing technologies is resequencing, where short reads from the genome of an individual are aligned to a refere...
Aakrosh Ratan, Yu Zhang, Vanessa M. Hayes, Stephan...
BMCBI
2010
162views more  BMCBI 2010»
13 years 10 months ago
Moara: a Java library for extracting and normalizing gene and protein mentions
Background: Gene/protein recognition and normalization are important preliminary steps for many biological text mining tasks, such as information retrieval, protein-protein intera...
Mariana L. Neves, José María Carazo,...
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