Published February 22, 2020
| Version v2
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DeepMILO: a deep learning approach to predict the impact of non-coding sequence variants on 3D chromatin structure
Description
Non-coding variants have been shown to be related to disease by alteration of 3D genome structures. We propose a deep learning method, DeepMILO, to predict the effects of variants on CTCF/cohesin-mediated insulator loops.
Files
DeepMILO.zip
Files
(30.2 MB)
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Additional details
Funding
- Computational Methods for Identifying Non-coding Cancer Drivers 1R01CA218668-01A1
- National Institutes of Health