hnscc

High dimensional breast cancer gene expression data

datasets

High dimensional time to events data analysis with variable selection technique.
Currently support LASSO, clustering and Bonferroni's correction.

Atanu Bhattacharjee

SurvHiDim

High Dimensional Survival Data Analysis

Akash Pawar

hnscc function

A dataframe with 565 rows and 104 variables<dl class="dl-horizontal">
<dt>id</dt><dd>ID of subjects</dd>
<dt>leftcensor</dt><dd>Initial censoring time</dd>
<dt>death</dt><dd>Survival event</dd>
<dt>os</dt><dd>Duration of overall survival</dd>
<dt>pfs</dt><dd>Duration of progression free survival</dd>
<dt>prog</dt><dd>Progression event</dd>
<dt>GJB1,...,HMGCS2</dt><dd>High dimensional covariates</dd></dl>

Format

hnscc

High dimensional genomic data on head and neck cancer — hnscc

A dataframe with 565 rows and 104 variables<dl class='dl-horizontal'>
<dt>id</dt><dd>ID of subjects</dd>
<dt>leftcensor</dt><dd>Initial censoring time</dd>
<dt>death</dt><dd>Survival event</dd>
<dt>os</dt><dd>Duration of overall survival</dd>
<dt>pfs</dt><dd>Duration of progression free survival</dd>
<dt>prog</dt><dd>Progression event</dd>
<dt>GJB1,...,HMGCS2</dt><dd>High dimensional covariates</dd></dl>

hnscc: hnscc
High dimensional genomic data on head and neck cancer

Description

Usage

Arguments

Format

Examples