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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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| Pubblicato in: | Methods |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2019
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| Soggetti: | |
| Accesso online: | 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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