Quantitative utilization of prior biological knowledge in the Bayesian network modeling of gene expression data

Shouguo Gao; Xujing Wang

doi:10.1186/1471-2105-12-359

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Quantitative utilization of prior biological knowledge in the Bayesian network modeling of gene expression data

Shouguo Gao Xujing Wang

Year: 2011 Journal: BMC Bioinformatics Vol: 12 (1)Pages: 359-359 Publisher: BioMed Central

DOI: 10.1186/1471-2105-12-359

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Abstract

our new development provides a statistical means to utilize the quantitative information in prior biological knowledge in the BN modeling of gene expression data, which significantly improves the performance.

Keywords:

Computer science Bayesian network Data mining Gene regulatory network Markov chain Monte Carlo Bayes' theorem Artificial intelligence Bayesian probability Machine learning Computational biology Gene Biology Gene expression Genetics

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Topics

Bayesian Modeling and Causal Inference

Physical Sciences → Computer Science → Artificial Intelligence

Gene Regulatory Network Analysis

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Gene expression and cancer classification

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Quantitative utilization of prior biological knowledge in the Bayesian network modeling of gene expression data

Abstract

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Citation History

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