@inbook{60329c0e983d4565b6f61a7150b7f83a,
title = "Topological pathway enrichment analysis of gene expression in high grade serous ovarian cancer reveals tumor-stoma cross-talk",
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.",
author = "Zeleznik, {Oana A.} and Thallinger, {Gerhard G.} and John Platig and Culhane, {Aed{\'i}n C.}",
note = "Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG.",
year = "2017",
doi = "10.1007/978-3-319-55639-0_10",
language = "English",
series = "Trends in Mathematics",
publisher = "Springer International Publishing",
pages = "59--63",
booktitle = "Trends in Mathematics",
}