89 search results - page 9 / 18 » Learning Bayesian Classifiers from Gene-Expression MicroArra... |
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
In this paper, we compare both discriminative and generative parameter learning on both discriminatively and generatively structured Bayesian network classifiers. We use either ma...
ICASSP
2010
IEEE
14 years 9 months ago
2010
IEEE
In order to structure a gene network, a score-based approach is often used. A score-based approach, however, is problematic because by assuming a probability distribution, one is ...
129
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BMCBI
2011
14 years 4 months ago
2011
Background: The combination of genotypic and genome-wide expression data arising from segregating populations offers an unprecedented opportunity to model and dissect complex phen...
81
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AUSAI
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. We present a new method for voting exponential (in the number of attributes) size sets of Bayesian classifiers in polynomial time with polynomial memory requirements. Tra...
97
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BMCBI
2010
14 years 9 months ago
2010
Background: Identifying candidate genes in genetic networks is important for understanding regulation and biological function. Large gene expression datasets contain relevant info...