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Paper Title

Unsupervised classification of multi-omics data during cardiac remodeling using deep learning.

Paper Journal Title

Methods

Paper Citation Count

22

Paper Publication Year

2019

Bio Mention

Mesh Descriptor

Author Name	Affiliation
Neo Christopher Chung	University of California Los Angeles, USA Institute of Informatics, University of Warsaw
Bilal Mirza	University of California Los Angeles
Howard Choi	University of California Los Angeles
Howard Choi	University of California Los Angeles
Jie Wang	University of California Los Angeles
Ding Wang	University of California Los Angeles
Ding Wang	University of California Los Angeles
Peipei Ping	University of California Los Angeles, USA Scalable Analytics Institute (ScAi)
Peipei Ping	University of California Los Angeles, USA Scalable Analytics Institute (ScAi)
Wei Wang	University of California Los Angeles, USA Scalable Analytics Institute (ScAi)
Wei Wang	University of California Los Angeles, USA Scalable Analytics Institute (ScAi)

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Dataset	Description	Source Link
Reactome	A manually curated, peer-reviewed database of biomolecular pathways.	Link
Reactome	A database of metabolic and signaling pathways	Link
Reactome	A manually curated, peer-reviewed database of biomolecular pathways.	Link
Reactome	A database of metabolic and signaling pathways	Link
Reactome	A database of metabolic and signaling pathways	Link
Reactome	A database of metabolic and signaling pathways	Link
Reactome	A database of metabolic and signaling pathways	Link
Reactome	A database of metabolic and signaling pathways	Link
Reactome	A database of metabolic and signaling pathways	Link
Reactome	A database of metabolic and signaling pathways	Link
Reactome	A database of metabolic and signaling pathways	Link
Reactome	A database of metabolic and signaling pathways	Link
Reactome	A database of metabolic and signaling pathways	Link
Reactome	A manually curated, peer-reviewed database of biomolecular pathways.	Link
Reactome	A manually curated, peer-reviewed database of biomolecular pathways.	Link

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