Biospear: An R package for biomarker selection in penalized Cox regression

Nils Ternès; Federico Rotolo; Stefan Michiels

doi:10.1093/bioinformatics/btx560

Biospear: An R package for biomarker selection in penalized Cox regression

Nils Ternès, Federico Rotolo, Stefan Michiels

Research output: Contribution to journal › Article › peer-review

15 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	112-113
Number of pages	2
Journal	Bioinformatics
Volume	34
Issue number	1
DOIs	https://doi.org/10.1093/bioinformatics/btx560
Publication status	Published - 1 Jan 2018

Access to Document

10.1093/bioinformatics/btx560

Cite this

@article{251ba31c8a23492dab43fab25e8e3dbe,

title = "Biospear: An R package for biomarker selection in penalized Cox regression",

abstract = "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.",

author = "Nils Tern{\`e}s and Federico Rotolo and Stefan Michiels",

note = "Publisher Copyright: {\textcopyright} 2017 The Author.",

year = "2018",

month = jan,

day = "1",

doi = "10.1093/bioinformatics/btx560",

language = "English",

volume = "34",

pages = "112--113",

journal = "Bioinformatics",

issn = "1367-4803",

number = "1",

}

TY - JOUR

T1 - Biospear

T2 - An R package for biomarker selection in penalized Cox regression

AU - Ternès, Nils

AU - Rotolo, Federico

AU - Michiels, Stefan

PY - 2018/1/1

Y1 - 2018/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85040057512&partnerID=8YFLogxK

U2 - 10.1093/bioinformatics/btx560

DO - 10.1093/bioinformatics/btx560

M3 - Article

C2 - 28927242

AN - SCOPUS:85040057512

SN - 1367-4803

VL - 34

SP - 112

EP - 113

JO - Bioinformatics

JF - Bioinformatics

IS - 1

ER -

Biospear: An R package for biomarker selection in penalized Cox regression

Abstract

Access to Document

Other files and links

Cite this