Unsupervised classification of multi-omics data during cardiac remodeling using deep learning-Reference-Cited by-同舟云学术

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

Published:2019-08 Issue: Volume:166 Page:66-73
ISSN:1046-2023
Container-title:Methods
language:en
Short-container-title:Methods

Author:

Chung Neo Christopher,Mirza Bilal,Choi Howard,Wang Jie,Wang Ding,Ping Peipei,Wang Wei

Funder

National Institutes of Health

Narodowe Centrum Nauki

Publisher

Elsevier BV

Subject

General Biochemistry, Genetics and Molecular Biology,Molecular Biology

Reference59 articles.

1. Heart disease and stroke statistics – 2018 update: a report from the American Heart Association;Benjamin;Circulation,2018

2. C/VDdb: A multi-omics expression profiling database for a knowledge-driven approach in cardiovascular disease (CVD);Fernandes;PLoS One,2018

3. Omics big data, and precision medicine in cardiovascular sciences;Lau;Am. Heart Assoc.,2018

4. Discovering and linking public omics data sets using the Omics Discovery Index;Perez-Riverol;Nat. Biotechnol.,2017

5. Integrated omics dissection of proteome dynamics during cardiac remodeling;Lau;Nat. Commun.,2018

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