Topological pathway enrichment analysis of gene expression in high grade serous ovarian cancer reveals tumor-stoma cross-talk

Oana A. Zeleznik, Gerhard G. Thallinger, John Platig, Aedín C. Culhane

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Identifying the biological pathways that are significantly regulated in a given condition is a fundamental step to understanding biological phenomena. Existing pathway approaches were designed for the analysis of a single dataset and are not optimized for simultaneous analysis of multiple data sources. Increasing availability of multiple omics datasets obtained on the same sample allows for a more complete understanding of pathway behavior in human diseases. We propose a pathway analysis approach in which we integrate multiple molecular datasets using multivariate analysis and apply dynamical importance to extract topology-based pathway scores.

Original languageEnglish
Title of host publicationTrends in Mathematics
PublisherSpringer International Publishing
Pages59-63
Number of pages5
DOIs
Publication statusPublished - 2017
Externally publishedYes

Publication series

NameTrends in Mathematics
Volume7
ISSN (Print)2297-0215
ISSN (Electronic)2297-024X

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