Revealing cancer subtypes with higher-order correlations applied to imaging and omics data

Revealing cancer subtypes with higher-order correlations applied to imaging and omics data

Abstract Background Patient stratification to identify subtypes with different disease manifestations, severity, and expected survival time is a critical task in cancer diagnosis and treatment. While stratification approaches using various biomarkers (including high-throughput gene expression measur...

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Bibliographic Details
Main Authors: Kiley Graim, Tiffany Ting Liu, Achal S. Achrol, Evan O. Paull, Yulia Newton, Steven D. Chang, Griffith R. Harsh, Sergio P. Cordero, Daniel L. Rubin, Joshua M. Stuart
Format: Article
Language:English
Published: BMC 2017-03-01
Series:BMC Medical Genomics
Subjects:
Molecular subtyping
Community detection
MRI
Magnetic resonance imaging
Clustering
Mutation
Online Access:http://link.springer.com/article/10.1186/s12920-017-0256-3

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http://link.springer.com/article/10.1186/s12920-017-0256-3

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