Integrative Pathway Analysis Using Graph-Based Learning with Applications to TCGA Colon and Ovarian Data

Recent method development has included multi-dimensional genomic data algorithms because such methods have more accurately predicted clinical phenotypes related to disease. This study is the first to conduct an integrative genomic pathway-based analysis with a graph-based learning algorithm. The met...

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Bibliographic Details
Main Authors: Andrew E. Dellinger, Andrew B. Nixon, Herbert Pang
Format: Article
Language:English
Published: SAGE Publishing 2014-01-01
Series:Cancer Informatics
Online Access:https://doi.org/10.4137/CIN.S13634