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Better prediction of functional effects for sequence variants
Elucidating the effects of naturally occurring genetic variation is one of the major challenges for personalized health and personalized medicine. Here, we introduce SNAP2, a novel neural network based classifier that improves over the state-of-the-art in distinguishing between effect and neutral va...
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| Published in: | BMC Genomics |
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| Main Authors: | , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
BioMed Central
2015
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4480835/ https://ncbi.nlm.nih.gov/pubmed/26110438 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2164-16-S8-S1 |
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