publication . Preprint . 2019

A Novel Integrative Multiomics Method Reveals a Hypoxia-Related Subgroup of Breast Cancer with Significantly Decreased Survival

Joseph O. Deasy; Maryam Pouryahya; Jung Hun Oh; Allen Tannenbaum; Allen Tannenbaum; Zehor Belkhatir; James C. Mathews; Pedram Javanmard;
Open Access English
  • Published: 25 Feb 2019
  • Publisher: Cold Spring Harbor Laboratory
Abstract
<jats:title>Abstract</jats:title><jats:p>The remarkable growth of multi-platform genomic profiles has led to the multiomics data integration challenge. The effective integration of such data provides a comprehensive view of the molecular complexity of cancer tumors and can significantly improve clinical out-come predictions. In this study, we present a novel network-based integration method of multiomics data as well as a clustering technique involving the Wasserstein (Earth Mover’s) distance from the theory of optimal mass transport. We applied our proposed method of integrative Wasserstein-based clustering (iWCluster) to invasive breast carcinoma from The Canc...
Subjects
free text keywords: Biology, Transcription factor, Interaction network, Breast cancer, medicine.disease, medicine, Computational biology, Tumor hypoxia, DNA methylation, Gene, Cancer, Omics
Funded by
NIH| Glymphatic function in a transgenic rat model of Alzheimer's disease
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5R01AG048769-04
  • Funding stream: NATIONAL INSTITUTE ON AGING
,
NIH| MOUSE GENETICS
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 2P30CA008748-43
  • Funding stream: NATIONAL CANCER INSTITUTE
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