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A generalizable framework to comprehensively predict epigenome, chromatin organization, and transcriptome
Many deep learning approaches have been proposed to predict epigenetic profiles, chromatin organization, and transcription activity. While these approaches achieve satisfactory performance in predicting one modality from another, the learned representations are not generalizable across predictive ta...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10325920/ https://www.ncbi.nlm.nih.gov/pubmed/37224527 http://dx.doi.org/10.1093/nar/gkad436 |