PCGroups

A dataset containing the protein complexes

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

PCGroups function

A data frame with 3512 rows and 6 variables:<dl class="dl-horizontal">
<dt>ComplexID</dt><dd>ID of the protein complex</dd>
<dt>ComplexName</dt><dd>name of the protein complex</dd>
<dt>Organism</dt><dd>organism</dd>
<dt>UniprotID</dt><dd>Uniprot IDs of the proteins in the protein complex</dd>
<dt>EntrezID</dt><dd>Entrez IDs of the proteins in the protein complex</dd>
<dt>GeneSymbol</dt><dd>gene symbols of the proteins in the protein complex</dd>
</dl>

Format

Protein complexes. — PCGroups

A data frame with 3512 rows and 6 variables:<dl class='dl-horizontal'>
<dt>ComplexID</dt><dd>ID of the protein complex</dd>
<dt>ComplexName</dt><dd>name of the protein complex</dd>
<dt>Organism</dt><dd>organism</dd>
<dt>UniprotID</dt><dd>Uniprot IDs of the proteins in the protein complex</dd>
<dt>EntrezID</dt><dd>Entrez IDs of the proteins in the protein complex</dd>
<dt>GeneSymbol</dt><dd>gene symbols of the proteins in the protein complex</dd>
</dl>

PCGroups: Protein complexes.

Description

Usage

Arguments

Format