generate.pathway

Generate igraph object from edge list

It aims to find significant pathways through
network topology information. It has several advantages compared
with current pathway enrichment tools. First, pathway node instead
of single gene is taken as the basic unit when analysing networks
to meet the fact that genes must be constructed into complexes to
hold normal functions. Second, multiple network centrality measures are
applied simultaneously to measure importance of nodes from different
aspects to make a full view on the biological system. CePa extends
standard pathway enrichment methods, which include both over-representation
analysis procedure and gene-set analysis procedure.
<doi:10.1093/bioinformatics/btt008>.

Zuguang Gu

CePa

Centrality-Based Pathway Enrichment

generate.pathway function

<dl>
 <dt>el</dt>
<dd>edge list, matrix with two columns. The first column is the input node and the second column is the output node.</dd>
</dl>

Arguments

Author

Generate igraph object from edge list — generate.pathway

<dl>


 <dt>el</dt>
<dd>edge list, matrix with two columns. The first column is the input node and the second column is the output node.</dd>


</dl>

generate.pathway: Generate igraph object from edge list

Description

Usage

Arguments

Author

Details

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Examples