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Learning Parsimonious Classification Rules from Gene Expression Data Using Bayesian Networks with Local Structure

The comprehensibility of good predictive models learned from high-dimensional gene expression data is attractive because it can lead to biomarker discovery. Several good classifiers provide comparable predictive performance but differ in their abilities to summarize the observed data. We extend a Ba...

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Publicat a:Data (Basel)
Autors principals: Lustgarten, Jonathan Lyle, Balasubramanian, Jeya Balaji, Visweswaran, Shyam, Gopalakrishnan, Vanathi
Format: Artigo
Idioma:Inglês
Publicat: 2017
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC5358670/
https://ncbi.nlm.nih.gov/pubmed/28331847
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/data2010005
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