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Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors
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 Bayesian cla...
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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5751802/ https://ncbi.nlm.nih.gov/pubmed/29297278 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1893-4 |
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