survivalData

datasets

Two protein complex-based group regression models (PCLasso and PCLasso2) for risk protein complex identification. PCLasso is a prognostic model that identifies risk protein complexes associated with survival. PCLasso2 is a classification model that identifies risk protein complexes associated with classes. For more information, see Wang and Liu (2021) <doi:10.1093/bib/bbab212>.

Wei Liu

PCLassoReg

Group Regression Models for Risk Protein Complex Identification

survivalData function

A list containing a protein expression matrix and survival data<dl class="dl-horizontal">
<dt>Exp</dt><dd>a protein expression matrix</dd>
<dt>survData</dt><dd>Survival data. The first column is the time on study
(follow up time); the second column is a binary variable with
1 indicating that the event has occurred and 0 indicating right censoring.</dd>
</dl>

Format

A dataset for prognostic model — survivalData

A list containing a protein expression matrix and survival data<dl class='dl-horizontal'>
<dt>Exp</dt><dd>a protein expression matrix</dd>
<dt>survData</dt><dd>Survival data. The first column is the time on study
(follow up time); the second column is a binary variable with
1 indicating that the event has occurred and 0 indicating right censoring.</dd>
</dl>

survivalData: A dataset for prognostic model

Description

Usage

Arguments

Format