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Predicting sites of epitranscriptome modifications using unsupervised representation learning based on generative adversarial networks
Epitranscriptome is an exciting area that studies different types of modifications in transcripts and the prediction of such modification sites from the transcript sequence is of significant interest. However, the scarcity of positive sites for most modifications imposes critical challenges for trai...
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| Pubblicato in: | Front Phys |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7710330/ https://ncbi.nlm.nih.gov/pubmed/33274189 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fphy.2020.00196 |
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