Literature DB >> 28927242

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

Nils Ternès1,2, Federico Rotolo1,2, Stefan Michiels1,2.   

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 and implementation: The package is available on the CRAN. (https://CRAN.R-project.org/package=biospear). Contact: stefan.michiels@gustaveroussy.fr. Supplementary information: Supplementary data are available at Bioinformatics online.
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Year:  2018        PMID: 28927242     DOI: 10.1093/bioinformatics/btx560

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  5 in total

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3.  Accounting for grouped predictor variables or pathways in high-dimensional penalized Cox regression models.

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4.  TCox: Correlation-Based Regularization Applied to Colorectal Cancer Survival Data.

Authors:  Carolina Peixoto; Marta B Lopes; Marta Martins; Luís Costa; Susana Vinga
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5.  Transcription factor networks of oligodendrogliomas treated with adjuvant radiotherapy or observation inform prognosis.

Authors:  Jonathan So; Yasin Mamatjan; Gelareh Zadeh; Kenneth Aldape; Fabio Y Moraes
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  5 in total

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