Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors

Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors

Abstract Background Phenotypic classification is problematic because small samples are ubiquitous; and, for these, use of prior knowledge is critical. If knowledge concerning the feature-label distribution – for instance, genetic pathways – is available, then it can be used in learning. Optimal Baye...

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Bibliographic Details
Main Authors: Shahin Boluki, Mohammad Shahrokh Esfahani, Xiaoning Qian, Edward R Dougherty
Format: Article
Language:English
Published: BMC 2017-12-01
Series:BMC Bioinformatics
Subjects:
Optimal Bayesian classification
Prior construction
Biological pathways
Probabilistic Boolean networks
Online Access:http://link.springer.com/article/10.1186/s12859-017-1893-4

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http://link.springer.com/article/10.1186/s12859-017-1893-4

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