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Deep learning-based ovarian cancer subtypes identification using multi-omics data
BACKGROUND: Identifying molecular subtypes of ovarian cancer is important. Compared to identify subtypes using single omics data, the multi-omics data analysis can utilize more information. Autoencoder has been widely used to construct lower dimensional representation for multi-omics feature integra...
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| Udgivet i: | BioData Min |
|---|---|
| Main Authors: | , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
BioMed Central
2020
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7447574/ https://ncbi.nlm.nih.gov/pubmed/32863885 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13040-020-00222-x |
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