T4SE-XGB: interpretable sequence-based prediction of type IV secreted effectors using eXtreme gradient boosting algorithm
Tianhang Chen, Xiangeng Wang, Yanyi Chu, Yanjing Wang, Mingming Jiang, Dong‐Qing Wei, Yi Xiong
This study introduces T4SE-XGB, an XGBoost-based model for predicting type IV secreted effectors from protein sequences, achieving high accuracy and interpretability.
Frontiers in Microbiology · Sep 24, 2020Peer-reviewedBioinformatics