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Deep learning of the tissue-regulated splicing code
Motivation: Alternative splicing (AS) is a regulated process that directs the generation of different transcripts from single genes. A computational model that can accurately predict splicing patterns based on genomic features and cellular context is highly desirable, both in understanding this wide...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Oxford University Press
2014
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4058935/ https://ncbi.nlm.nih.gov/pubmed/24931975 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btu277 |
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