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...
Main Authors: | Challam, S. (Author), Cherry, T.J (Author), Lee, A.Y (Author), Luu, K. (Author), Timms, A.E (Author), VandenBosch, L.S (Author), Wu, Y. (Author) |
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Format: | Article |
Language: | English |
Published: |
NLM (Medline)
2022
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Subjects: | |
Online Access: | View Fulltext in Publisher |
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