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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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| Publicado no: | BioData Min |
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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/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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