biospear: an R package for biomarker selection in penalized Cox regression | Zendy

Nils Ternès | Zendy; Federico Rotolo | Zendy; Stefan Michiels | Zendy

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biospear: an R package for biomarker selection in penalized Cox regression

Author(s) -

Nils Ternès,

Federico Rotolo,

Stefan Michiels

Publication year - 2017

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btx560

Subject(s) - r package , proportional hazards model , computer science , regression , selection (genetic algorithm) , regression analysis , software package , lasso (programming language) , biomarker , statistics , data mining , econometrics , software , artificial intelligence , machine learning , mathematics , biology , biochemistry , programming language , world wide web

The R package biospear allows selecting the biomarkers with the strongest impact on survival and on the treatment effect in high-dimensional Cox models, and estimating expected survival probabilities. Most of the implemented approaches are based on penalized regression techniques.

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