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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2014-01-01
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Series: | Cancer Informatics |
Online Access: | https://doi.org/10.4137/CIN.S13634 |