Coarse composition suffices: tabular in-context learning for multi-activity antimicrobial peptide profiling
A simple, sequence-only pipeline can match and surpass leading methods by combining 330 interpretable sequence descriptors with TabPFN, a tabular foundation model that performs in-context prediction in a single forward pass without gradient-based training or hyperparameter search.
Anuj Pal, Raunak Kumar, D. Solanki et al.
· bioRxiv · 0 citations