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Discovering feature relevancy and dependency by kernel-guided probabilistic model-building evolution

BACKGROUND: Discovering relevant features (biomarkers) that discriminate etiologies of a disease is useful to provide biomedical researchers with candidate targets for further laboratory experimentation while saving costs; dependencies among biomarkers may suggest additional valuable information, fo...

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Publicat a:BioData Min
Autors principals: Rodriguez, Nestor, Rojas–Galeano, Sergio
Format: Artigo
Idioma:Inglês
Publicat: BioMed Central 2017
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC5353680/
https://ncbi.nlm.nih.gov/pubmed/28331548
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13040-017-0131-y
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