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» An Information Criterion for Informative Gene Selection
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117
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UAI
1996
15 years 3 months ago
Asymptotic Model Selection for Directed Networks with Hidden Variables
We extend the Bayesian Information Criterion (BIC), an asymptotic approximation for the marginal likelihood, to Bayesian networks with hidden variables. This approximation can be ...
Dan Geiger, David Heckerman, Christopher Meek
104
Voted
BMCBI
2010
102views more  BMCBI 2010»
15 years 1 months ago
Missing genes in the annotation of prokaryotic genomes
Background: Protein-coding gene detection in prokaryotic genomes is considered a much simpler problem than in intron-containing eukaryotic genomes. However there have been reports...
Andrew S. Warren, Jeremy S. Archuleta, Wu-chun Fen...
ICIP
2008
IEEE
15 years 8 months ago
General region merging approaches based on information theory statistical measures
This work presents a new statistical approach to region merging where regions are modeled as arbitrary discrete distributions, directly estimated from the pixel values. Under this...
Felipe Calderero, Ferran Marqués
HICSS
2005
IEEE
132views Biometrics» more  HICSS 2005»
15 years 7 months ago
Multi-Expert Decision-Making with Linguistic Information: A Probabilistic-Based Model
It is well-known that linguistic decision-making problems that manage preferences from different experts follow a common resolution scheme composed by two phases: an aggregation p...
Van-Nam Huynh, Yoshiteru Nakamori
BMCBI
2008
126views more  BMCBI 2008»
15 years 1 months ago
Combining Shapley value and statistics to the analysis of gene expression data in children exposed to air pollution
Background: In gene expression analysis, statistical tests for differential gene expression provide lists of candidate genes having, individually, a sufficiently low p-value. Howe...
Stefano Moretti, Danitsja van Leeuwen, Hans Gmuend...