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Cancer classification based on chromatin accessibility profiles with deep adversarial learning model
Given the complexity and diversity of the cancer genomics profiles, it is challenging to identify distinct clusters from different cancer types. Numerous analyses have been conducted for this propose. Still, the methods they used always do not directly support the high-dimensional omics data across...
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| Gepubliceerd in: | PLoS Comput Biol |
|---|---|
| Hoofdauteurs: | , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Public Library of Science
2020
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7676699/ https://ncbi.nlm.nih.gov/pubmed/33166290 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1008405 |
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