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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Detalles Bibliográficos
Autores principales: Rodriguez, Nestor, Rojas–Galeano, Sergio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5353680/
https://www.ncbi.nlm.nih.gov/pubmed/28331548
http://dx.doi.org/10.1186/s13040-017-0131-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5353680/
https://www.ncbi.nlm.nih.gov/pubmed/28331548
http://dx.doi.org/10.1186/s13040-017-0131-y

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