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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...

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Detalles Bibliográficos
Autores principales: Onimaru, Koh, Nishimura, Osamu, Kuraku, Shigehiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
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