Discovering feature relevancy and dependency by kernel-guided probabilistic model-building evolution
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...
Source: BioData Mining - Category: Bioinformatics Authors: Nestor Rodriguez and Sergio Rojas –Galeano Source Type: research
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