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Predicting gene regulatory regions with a convolutional neural network for processing double-strand genome sequence information
With advances in sequencing technology, a vast amount of genomic sequence information has become available. However, annotating biological functions particularly of non-protein-coding regions in genome sequences without experiments is still a challenging task. Recently deep learning–based methods we...
Autores principales: | Onimaru, Koh, Nishimura, Osamu, Kuraku, Shigehiro |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377372/ https://www.ncbi.nlm.nih.gov/pubmed/32701977 http://dx.doi.org/10.1371/journal.pone.0235748 |
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