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Unsupervised Classification of Multi-Omics Data during Cardiac Remodeling using Deep Learning

Integration of multi-omics in cardiovascular diseases (CVDs) presents high potentials for translational discoveries. By analyzing abundance levels of heterogeneous molecules over time, we may uncover biological interactions and networks that were previously unidentifiable. However, to effectively pe...

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Bibliografske podrobnosti
izdano v:Methods
Main Authors: Chung, Neo Christopher, Mirza, Bilal, Choi, Howard, Wang, Jie, Wang, Ding, Ping, Peipei, Wang, Wei
Format: Artigo
Jezik:Inglês
Izdano: 2019
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC6708480/
https://ncbi.nlm.nih.gov/pubmed/30853547
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ymeth.2019.03.004
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