Published May 17, 2025
| Version v3
Dataset
Open
MDPR
Description
MDPR
Multimodal deep learning method based on parallel and residual structures(MDPR) is a deep learning model developed by us for predicting cancer-related T-cell receptor sequences (TCRs). This deep learning model is designed to effectively extract both the spatial structural features and sequence features of TCRs.
Files
wong_db.zip
Files
(734.4 MB)
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md5:9690c37a851e598da5ca3820020edeb6
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839.3 kB | Download |
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md5:f06ecda4fb15840a6295e6d0e08a678b
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57.3 MB | Download |
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md5:1e84b2e45bc2e35849fdebd91fa4ebf7
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74.0 MB | Download |
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md5:8ada2287b2525679fb20ab4d47002951
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76.1 MB | Download |
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md5:987633ded9e422a7276ec3d40cb30863
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75.4 MB | Download |
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md5:a78596fce45ea6ccd700695a128bc10f
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450.7 MB | Preview Download |