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A general framework for predicting the transcriptomic consequences of non-coding variation and small molecules
Genome wide association studies (GWASs) for complex traits have implicated thousands of genetic loci. Most GWAS-nominated variants lie in noncoding regions, complicating the systematic translation of these findings into functional understanding. Here, we leverage convolutional neural networks to ass...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9041867/ https://www.ncbi.nlm.nih.gov/pubmed/35421087 http://dx.doi.org/10.1371/journal.pcbi.1010028 |