SIMLIN: a bioinformatics tool for prediction of S-sulphenylation in the human proteome based on multi-stage ensemble-learning models

摘要

The overall framework illustrating the model construction and performance evaluation for . The four major steps for constructing include data collection, feature engineering, model construction, and performance evaluation, ( ) A detailed breakdown of the construction of the two-stage hybrid model