gene_sets

Two gene sets, each 141 genes in length, created to infer
 stromal and immune infiltration

datasets

The 'ESTIMATE' package infers tumor purity from expression data as a
function of immune and stromal infiltrate, but requires writing of intermediate
files, is un-pipeable, and performs poorly when presented with modern datasets
with current gene symbols. 'tidyestimate' a fast, tidy, modern reimagination of
'ESTIMATE' (2013) <doi:10.1038/ncomms3612>.

Kai Aragaki

tidyestimate

A Tidy Implementation of 'ESTIMATE'

gene_sets function

A data frame with 141 row and 2 variables:<dl>
 <dt>stromal_signature</dt>
<dd>Geneset of HGNC symbols used to infer tumor stromal cell infiltration</dd> <dt>immune_signature</dt>
<dd>Geneset of HGNC symbols used to infer tumor immune cell infiltration</dd> 
</dl>

Format

Gene sets to infer tumor stromal and immune infiltration — gene_sets

A data frame with 141 row and 2 variables:<dl>
 <dt>stromal_signature</dt>
<dd>Geneset of HGNC symbols used to infer tumor stromal cell infiltration</dd>

 <dt>immune_signature</dt>
<dd>Geneset of HGNC symbols used to infer tumor immune cell infiltration</dd>

 
</dl>

gene_sets: Gene sets to infer tumor stromal and immune infiltration

Description

Usage

Arguments

Format