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Gene Set Enrichment Analysis with R and Bioconductor
Show table of contents
Table of contents
1
About
2
Introduction
3
Gene Set Databases
4
Over-Representation Analysis
5
The GSEA method
6
GSEA framework
7
Gene Set Enrichment Analysis in Genomics
8
Topology-based pathway enrichmetn
9
Extensions of GSEA
10
Visualization
11
Clustering and simplifying GSEA results
8
Topology-based pathway enrichmetn
8.1
Overview
Gene sets are represented as a vector of
8.2
Use topology informatino
8.3
Pathway common structure
8.4
General process of utilizing topology information
8.5
Centrality measures
8.6
centrality-based pathway enrichment
8.7
SPIA: pathway impact analysis
8.8
R packages for topology-based GSEA
7
Gene Set Enrichment Analysis in Genomics
9
Extensions of GSEA
On this page
8
Topology-based pathway enrichmetn
8.1
Overview
8.2
Use topology informatino
8.3
Pathway common structure
8.4
General process of utilizing topology information
8.5
Centrality measures
8.6
centrality-based pathway enrichment
8.7
SPIA: pathway impact analysis
8.8
R packages for topology-based GSEA