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Machine Learning Prediction of Non-Coding Variant Impact in Human Retinal cis-Regulatory Elements
PURPOSE: Prior studies have demonstrated the significance of specific cis-regulatory variants in retinal disease; however, determining the functional impact of regulatory variants remains a major challenge. In this study, we utilized a machine learning approach, trained on epigenomic data from the a...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Association for Research in Vision and Ophthalmology
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9034719/ https://www.ncbi.nlm.nih.gov/pubmed/35435921 http://dx.doi.org/10.1167/tvst.11.4.16 |