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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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| 出版年: | PLoS One |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2020
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| 主題: | |
| オンライン･アクセス: | 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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