1. Zhang Q, , Accurate prediction of multi-label protein subcellular localization through multi-view feature learning with RBRL classifier. Brief. Bioinform.. 2021. 22(5): p.bbab012.
2. Shen Y, Ding Y, Tang J, Zou Q and Guo F, Critical evaluation of web-based prediction tools for human protein subcellular localization. Brief. Bioinform., 2020. 21(5): p.1628-40.
3. Zhang T, Gu J, Wang Z, Wu C, Liang Y and Shi X, Protein subcellular localization prediction model based on graph convolutional network. Interdiscip. Sci. Comput. Life Sci., 2022. 14(4): p.937-46.
4. Liu Y, , Predicting the multi-label protein subcellular localization through multi-information fusion and MLSI dimensionality reduction based on MLFE classifier. Bioinformatics, 2021. 38(5): p.1223-30.
5. Cong H, Liu H, Cao Y, Chen Y and Liang C, Multiple protein subcellular locations prediction based on deep convolutional neural networks with self-attention mechanism. Interdiscip. Sci. Comput. Life Sci., 2022. 14(2): p.421-38.