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DeepOmix: A scalable and interpretable multi-omics deep learning framework and application in cancer survival analysis
Integrative analysis of multi-omics data can elucidate valuable insights into complex molecular mechanisms for various diseases. However, due to their different modalities and high dimension, utilizing and integrating different types of omics data suffers from great challenges. There is an urgent ne...
Tallennettuna:
| Julkaisussa: | Comput Struct Biotechnol J |
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| Päätekijät: | , , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Research Network of Computational and Structural Biotechnology
2021
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8131983/ https://ncbi.nlm.nih.gov/pubmed/34093987 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csbj.2021.04.067 |
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