Machine Learning Classification of Missense Variants in Amyloidogenic Disease Genes
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Complete data archive for: Machine Learning Classification of Missense Variants in Amyloidogenic Disease Genes. Includes ClinVar snapshot, processed intermediate files, AlphaFold2 structures (28 genes), trained LightGBM model, VUS reclassification results, all manuscript figures, and supplementary tables for 30 amyloidogenic disease genes (4,892 variants; best model OOF AUROC = 0.982). Source code: https://github.com/sci-OA/amyloid-vus-ml
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Zenodo创建时间：
2026-06-10
