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» Using Bayesian networks to analyze expression data
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BMCBI
2004
134views more  BMCBI 2004»
14 years 9 months ago
Bayesian model accounting for within-class biological variability in Serial Analysis of Gene Expression (SAGE)
Background: An important challenge for transcript counting methods such as Serial Analysis of Gene Expression (SAGE), "Digital Northern" or Massively Parallel Signature ...
Ricardo Z. N. Vêncio, Helena Brentani, Diogo...
SARA
2007
Springer
15 years 3 months ago
Active Learning of Dynamic Bayesian Networks in Markov Decision Processes
Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
Anders Jonsson, Andrew G. Barto
JMLR
2006
103views more  JMLR 2006»
14 years 9 months ago
MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals
In recent years, there has been a growing interest in applying Bayesian networks and their extensions to reconstruct regulatory networks from gene expression data. Since the gene ...
Dana Pe'er, Amos Tanay, Aviv Regev
SCIENTOMETRICS
2010
102views more  SCIENTOMETRICS 2010»
14 years 8 months ago
Efficiency measurement of research groups using Data Envelopment Analysis and Bayesian networks
Cristhian Fabián Ruiz, Ricardo Bonilla, Die...