VAM6A pretrained checkpoints (gain/loss models, 2026)

This record provides pretrained model checkpoints for VAM6A (Viral infection-Altered m6A predictor), a deep learning framework for predicting virus-induced host m6A alterations. Files:1) VAM6A_models_2026.tar.gz2) VAM6A_models_2026.sha256 After extraction, the expected structure is:data/gain/<virus>/VAM6A_seq_fulldata/gain/<virus>/VAM6A_seq_full_geo_genodata/loss/<virus>/VAM6A_seq_fulldata/loss/<virus>/VAM6A_seq_full_geo_geno Checkpoint format:PyTorch state_dict package with keys: format, architecture, state_dict This model package is intended to be used with the VAM6A GitHub repository pipeline.