Epigenomic tensor predicts disease subtypes and reveals constrained tumor evolution

Epigenomic tensor predicts disease subtypes and reveals constrained tumor evolution

Summary: Understanding the epigenomic evolution and specificity of disease subtypes from complex patient data remains a major biomedical problem. We here present DeCET (decomposition and classification of epigenomic tensors), an integrative computational approach for simultaneously analyzing hierarc...

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Bibliographic Details
Main Authors: Jacob R. Leistico, Priyanka Saini, Christopher R. Futtner, Miroslav Hejna, Yasuhiro Omura, Pritin N. Soni, Poorva Sandlesh, Magdy Milad, Jian-Jun Wei, Serdar Bulun, J. Brandon Parker, Grant D. Barish, Jun S. Song, Debabrata Chakravarti
Format: Article
Language:English
Published: Elsevier 2021-03-01
Series:Cell Reports
Subjects:
epigenomics
tensor decomposition
support tensor machine
leiomyoma
cancer
HOXA13
Online Access:http://www.sciencedirect.com/science/article/pii/S2211124721002412

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http://www.sciencedirect.com/science/article/pii/S2211124721002412

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