Scientific publications

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

May 31, 2022 | Magazine: PLoS Computational Biology

Luis V Valcárcel  1   2 , Edurne San José-Enériz  2   3 , Xabier Cendoya  1 , Ángel Rubio  1   4   5 , Xabier Agirre  2   3 , Felipe Prósper  2   3   6   7 , Francisco J Planes  1   4   5


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.

CITATION  PLoS Comput Biol. 2022 May 31;18(5):e1010180. doi: 10.1371/journal.pcbi.1010180. eCollection 2022 May. 

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