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Combining artificial intelligence: deep learning with Hi-C data to predict the functional effects of non-coding variants
MOTIVATION: Although genome-wide association studies (GWASs) have identified thousands of variants for various traits, the causal variants and the mechanisms underlying the significant loci are largely unknown. In this study, we aim to predict non-coding variants that may functionally affect transla...
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| I publikationen: | Bioinformatics |
|---|---|
| Huvudupphovsmän: | , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Oxford University Press
2020
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8208740/ https://ncbi.nlm.nih.gov/pubmed/33196774 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa970 |
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