Use Python to choose a protein classifier threshold on validation data, freeze the rule, and report precision, recall, average precision, and experiment counts.……
Match protein sequences to labels by sample ID, preserve string identifiers, and reject duplicates and missing records before building a training table.……
Create reproducible protein train, validation, and test splits with Python, check group and sequence overlap, and keep fitted preprocessing inside training.……