Skip to Main content Skip to Navigation
Journal articles

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

Nils Ternes 1, 2 Federico Rotolo 1, 2 Stefan Michiels 2, 1, *
* Corresponding author
2 U1018 (Équipe 2) - Méthodologie et épidémiologie clinique en oncologie moléculaire
IGR - Institut Gustave Roussy, CESP - Centre de recherche en épidémiologie et santé des populations
Abstract : Summary: 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. Availability: The package is available on the CRAN. ( https://CRAN.R-project.org/package=biospear ).
Document type :
Journal articles
Complete list of metadatas

Cited literature [9 references]  Display  Hide  Download

https://www.hal.inserm.fr/inserm-01630061
Contributor : Stefan Michiels <>
Submitted on : Tuesday, November 7, 2017 - 10:53:45 AM
Last modification on : Wednesday, September 16, 2020 - 5:50:59 PM

File

 Restricted access
To satisfy the distribution rights of the publisher, the document is embargoed until : jamais

Please log in to resquest access to the document

Identifiers

Collections

Citation

Nils Ternes, Federico Rotolo, Stefan Michiels. biospear: an R package for biomarker selection in penalized Cox regression.. Bioinformatics, Oxford University Press (OUP), 2017, Epub ahead of print. ⟨10.1093/bioinformatics/btx560⟩. ⟨inserm-01630061⟩

Share

Metrics

Record views

232