Multimodal learning of noncoding variant effects using genome sequence and chromatin structure
Description
ncVarPred-1D3D: pretrained models of Sei (PMID: 35817977) + our 3D structure embedding models are shared. The models are trained and validated using DeepSEA (PMID: 26301843) selected 200 bp regions (we extended to 4K bp neighboring) to predict the epigenetic profile containing 21907 epigenetic events Sei processed.
The pretrained DeepSEA (PMID: 26301843) and reproduced DanQ (PMID: 27084946) can be found in SOTA.tar.gz.
Files
Files
(24.1 GB)
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md5:c4556f8571a3d3a467ebc333643dbdf2
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3.6 GB | Download |
md5:7c57dbb108bdfd6d55a5813fecd63a70
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20.4 GB | Download |
Additional details
References
- Tan, Wuwei, and Yang Shen. "Multimodal learning of noncoding variant effects using genome sequence and chromatin structure." bioRxiv (2022): 2022-12.