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Sequential regulatory activity prediction across chromosomes with convolutional neural networks
Models for predicting phenotypic outcomes from genotypes have important applications to understanding genomic function and improving human health. Here, we develop a machine-learning system to predict cell-type–specific epigenetic and transcriptional profiles in large mammalian genomes from DNA sequ...
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| Publicado no: | Genome Res |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Cold Spring Harbor Laboratory Press
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5932613/ https://ncbi.nlm.nih.gov/pubmed/29588361 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/gr.227819.117 |
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