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Predicting effects of noncoding variants with deep learning–based sequence model
Identifying functional effects of noncoding variants is a major challenge in human genetics. To predict the noncoding-variant effects de novo from sequence, we developed a deep learning–based algorithmic framework, DeepSEA (http://deepsea.princeton.edu/), that directly learns a regulatory sequence c...
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| Izdano u: | Nat Methods |
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| Glavni autori: | , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
2015
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4768299/ https://ncbi.nlm.nih.gov/pubmed/26301843 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/nmeth.3547 |
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