gene_edges

A dataset containing the 6 interactions of genes

datasets

Given any graph, the 'node2vec' algorithm can learn continuous feature representations for the nodes, which can then be used for various downstream machine learning tasks.The techniques are detailed in the paper "node2vec: Scalable Feature Learning for Networks" by Aditya Grover, Jure Leskovec(2016),available at <arXiv:1607.00653>.

Yang Tian

node2vec

Algorithmic Framework for Representational Learning on Graphs

Xu Li

Jing Ren

gene_edges function

A data frame with 6 rows and 2 variables:<dl class="dl-horizontal">
 <dt>gene1</dt><dd>human genes</dd>
 <dt>gene2</dt><dd>human genes</dd>
</dl>

Format

6 edges information between two genes of human — gene_edges

A data frame with 6 rows and 2 variables:<dl class='dl-horizontal'>
 <dt>gene1</dt><dd>human genes</dd>
 <dt>gene2</dt><dd>human genes</dd>
</dl>

gene_edges: 6 edges information between two genes of human

Description

Usage

Arguments

Format