TY - JOUR AU - Rodriguez, Nestor AU - Rojas–Galeano, Sergio PY - 2017 DA - 2017/03/15 TI - Discovering feature relevancy and dependency by kernel-guided probabilistic model-building evolution JO - BioData Mining SP - 12 VL - 10 IS - 1 AB - 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, for example, to characterize complex epistatic relationships from genetic data. The use of classifiers to guide the search for biomarkers (the so–called wrapper approach) has been widely studied. However, simultaneously searching for relevancy and dependencies among markers is a less explored ground. SN - 1756-0381 UR - https://doi.org/10.1186/s13040-017-0131-y DO - 10.1186/s13040-017-0131-y ID - Rodriguez2017 ER -