Accurate prediction of human essential genes using only nucleotide composition and association information. - Feng-Biao Guo; Chuan Dong; Hong-Li Hua; Shuo Liu; Hao Luo; Hong-Wan Zhang; Yan-Ting Jin; Kai-Yue Zhang (Bioinform., 2017)

Comprehensive review of the identification of essential genes using computational methods: focusing on feature implementation and assessment. - Chuan Dong; Yan-Ting Jin; Hong-Li Hua; Qing-Feng Wen; Sen Luo; Wen-Xin Zheng; Feng-Biao Guo (Briefings Bioinform., 2020)

Mslar: Microbial synthetic lethal and rescue database. - Senbin Zhu; Qian-Hu Jiang; Zhi-Guo Chen; Xiang Zhou; Yan-Ting Jin; Zixin Deng; Feng-Biao Guo (PLoS Comput. Biol., 2023)

Accurately identifying positive and negative regulation of apoptosis using fusion features and machine learning methods. - Cheng-Yan Wu; Zhi-Xue Xu; Nan Li; Dan-Yang Qi; Zhi-Hong Hao; Hong-Ye Wu; Ru Gao; Yan-Ting Jin (Comput. Biol. Chem., 2024)

An artificial intelligence-based approach for identifying the proteins regulating liquid-liquid phase separation. - Zahoor Ahmed; Kiran Shahzadi; Rui Li; Yu-Qing Jiang; Yan-Ting Jin; Muhammad Arif; Juan Feng (Briefings Bioinform., 2025)

DrugPred: An ensemble learning model based on ESM2 for predicting potential druggable proteins. - Hong-Qi Zhang; Shang-Hua Liu; Jun-Wen Yu; Rui Li; Dong-Xin Ye; Yan-Ting Jin; Cheng-Bing Huang; Kejun Deng (Future Gener. Comput. Syst., 2025)