Detalle Publicación

ARTÍCULO

BOSO: A novel feature selection algorithm for linear regression with high-dimensional data

Título de la revista: PLOS COMPUTATIONAL BIOLOGY
ISSN: 1553-7358
Volumen: 18
Número: 5
Páginas: e1010180
Fecha de publicación: 2022
Resumen:
With the frenetic growth of high-dimensional datasets in different biomedical domains, there is an urgent need to develop predictive methods able to deal with this complexity. Feature selection is a relevant strategy in machine learning to address this challenge. We introduce a novel feature selection algorithm for linear regression called BOSO (Bilevel Optimization Selector Operator). We conducted a benchmark of BOSO with key algorithms in the literature, finding a superior accuracy for feature selection in high-dimensional datasets. Proof-of-concept of BOSO for predicting drug sensitivity in cancer is presented. A detailed analysis is carried out for methotrexate, a well-studied drug targeting cancer metabolism.