International audienceSummary: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 )
The Fleming-Harrington class for right-censored data was first introduced by Harrington and Fleming ...
Biomarker identification is an ever more important topic in the life sciences. With the advent of me...
Data subject to length-biased sampling are frequently encountered in various applications including ...
International audienceSummary:The R package biospear allows selecting the biomarkers with the strong...
BioMark is an R package implementing two meta-strategies for finding biomarkers. For two-class discr...
Abstract Background Thanks to the advances in genomics and targeted treatments, more and more predic...
The Cox proportional hazards regression model has become the traditional choice for modeling surviva...
Copyright © 2013 Luı́s Meira-Machado et al. This is an open access article distributed under the Cre...
The R package BioMark provides several tools to define which variables are associated with class dif...
Prova tipográficaThe Cox proportional hazards regression model has become the traditional choice fo...
Cox's regression model for the analysis of survival data relies on the proportional hazards assumpti...
Biomarker identification is an ever more important topic in the life sciences. With the advent of me...
In this report, survival data from a german breast cancer study has been analysed using the programm...
Background The development of classification methods for personalized medicine is highly dependent o...
Survival analysis examines and models the time it takes for events to occur, termed survival time. T...
The Fleming-Harrington class for right-censored data was first introduced by Harrington and Fleming ...
Biomarker identification is an ever more important topic in the life sciences. With the advent of me...
Data subject to length-biased sampling are frequently encountered in various applications including ...
International audienceSummary:The R package biospear allows selecting the biomarkers with the strong...
BioMark is an R package implementing two meta-strategies for finding biomarkers. For two-class discr...
Abstract Background Thanks to the advances in genomics and targeted treatments, more and more predic...
The Cox proportional hazards regression model has become the traditional choice for modeling surviva...
Copyright © 2013 Luı́s Meira-Machado et al. This is an open access article distributed under the Cre...
The R package BioMark provides several tools to define which variables are associated with class dif...
Prova tipográficaThe Cox proportional hazards regression model has become the traditional choice fo...
Cox's regression model for the analysis of survival data relies on the proportional hazards assumpti...
Biomarker identification is an ever more important topic in the life sciences. With the advent of me...
In this report, survival data from a german breast cancer study has been analysed using the programm...
Background The development of classification methods for personalized medicine is highly dependent o...
Survival analysis examines and models the time it takes for events to occur, termed survival time. T...
The Fleming-Harrington class for right-censored data was first introduced by Harrington and Fleming ...
Biomarker identification is an ever more important topic in the life sciences. With the advent of me...
Data subject to length-biased sampling are frequently encountered in various applications including ...