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» Using Bayesian networks to analyze expression data
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BMCBI
2008
163views more  BMCBI 2008»
14 years 10 months ago
The Annotation, Mapping, Expression and Network (AMEN) suite of tools for molecular systems biology
Background: High-throughput genome biological experiments yield large and multifaceted datasets that require flexible and user-friendly analysis tools to facilitate their interpre...
Frédéric Chalmel, Michael Primig
BMCBI
2004
135views more  BMCBI 2004»
14 years 9 months ago
Determination of the differentially expressed genes in microarray experiments using local FDR
Background: Thousands of genes in a genomewide data set are tested against some null hypothesis, for detecting differentially expressed genes in microarray experiments. The expect...
Julie Aubert, Avner Bar-Hen, Jean-Jacques Daudin, ...
HICSS
2010
IEEE
167views Biometrics» more  HICSS 2010»
15 years 4 months ago
Bayesian Networks for the Assessment of the Effect of Urbanization on Stream Macroinvertebrates
It is generally acknowledged that macroinvertebrates are good indicators of water quality in streams, as a number of taxa are sensitive to pollution and integrate their response t...
Kenneth H. Reckhow
ICASSP
2011
IEEE
14 years 1 months ago
Gesture-based Dynamic Bayesian Network for noise robust speech recognition
Previously we have proposed different models for estimating articulatory gestures and vocal tract variable (TV) trajectories from synthetic speech. We have shown that when deploye...
Vikramjit Mitra, Hosung Nam, Carol Y. Espy-Wilson,...
ICML
2008
IEEE
15 years 10 months ago
Discriminative parameter learning for Bayesian networks
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwi...