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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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Shranjeno v:
Bibliografske podrobnosti
izdano v:PLoS One
Main Authors: Onimaru, Koh, Nishimura, Osamu, Kuraku, Shigehiro
Format: Artigo
Jezik:Inglês
Izdano: Public Library of Science 2020
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC7377372/
https://ncbi.nlm.nih.gov/pubmed/32701977
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0235748
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