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Predicting gene expression from histone modifications with self-attention based neural networks and transfer learning
It is well known that histone modifications play an important part in various chromatin-dependent processes such as DNA replication, repair, and transcription. Using computational models to predict gene expression based on histone modifications has been intensively studied. However, the accuracy of...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797047/ https://www.ncbi.nlm.nih.gov/pubmed/36588793 http://dx.doi.org/10.3389/fgene.2022.1081842 |