Yan-Ting Jin ph.D.

Yan-Ting Jin is the Post Doctoral researcher at Center for Informational Biology and the Key Laboratory for NeuroInformation of Ministry of Education in UESTC (Superviser: Hao Lin), focusing on the associations between metagenomics and human diseases.

E-mail:  jinyanting@uestc.edu.cn

Education and Training

2023-now Post Doc. in Bioinformatics, University of Electronic Science and Technology, Sichuan, China

2017-2022 Ph.D. in Bioinformatics, University of Electronic Science and Technology, Sichuan, China

2015-2017 M.S in Bioinformatics, University of Electronic Science and Technology, Sichuan, China

2011-2015 B.S in Biotechnology, Shanxi Agricultural University, Shanxi, China

Selected Papers

8. Cheng-Yan Wu, Zhi-Xue Xu, Nan Li, Dan Yang Qi, Hong-Ye Wu, Hui Ding, Yan-Ting Jin. (2025) Predicting cyclins based on key features and machine learning methods. Methods, 234: 112-119. (中科院SCI三区，2023 IF=4.2，通讯作者).

7. Yan-Ting Jin#, Yang Tan#, Zhong-Hua Gan, Yu-Duo Hao, Tian-Yu Wang, Hao Lin, Bo Tang. (2024) Identification of DNase I Hypersensitive Sites in the Human Genome by Multiple Sequence Descriptors. Methods, 229:125-132. (中科院SCI三区，2023 IF=4.2，第一作者).

6. Zahoor Ahmed, Kiran Shahzadi, Sebu Aboma Temesgen, Basharat Ahmad, Xiang Chen, Lin Ning, Hasan Zulfiqar, Hao Lin, Yan-Ting Jin. (2024) A protein pre-trained model-based approach for the identification of the liquid-liquid phase separation (LLPS) proteins. International journal of biological macromolecules, 134146. (中科院SCI一区top，2023 IF=7.7，通讯作者).

5. Cheng-Yan Wu, Zhi-Xue Xu, Nan Li, Dan-Yang Qi, Zhi-Hong Hao, Hong-Ye Wu, Ru Gao, Yan-Ting Jin. (2024) Accurately identifying positive and negative regulation of apoptosis using fusion features and machine learning methods. Computational Biology and Chemistry, 113:108207. (中科院SCI四区，2023 IF=2.6，通讯作者).

4. Yan-Ting Jin, Dong-Kai Pu, Hai-Xia Guo, Zixin Deng, Ling-Ling Chen and Feng-Biao Guo. (2022) T-G-A deficiency pattern in protein-coding genes and its potential reason. Frontiers in Microbiology, 13:847325. (2022 IF=5.640).

3. Yan-Ting Jin, Cong Ma, Xin Wang, Shu-Xuan Wang, Kai-Yue Zhang, Wen-Xin Zheng, Zixin Deng, Ju Wang, and Feng-Biao Guo. (2022) Consistent clustering pattern of prokaryotic genes based on base frequency at the second codon position and its association with function category preference. Interdisciplinary Sciences: Computational Life Sciences, 14(2):349-357. (2022 IF=2.233).

2. Yan-Ting Jin, Tian-Yue Jin, Zhi-Li Zhang, Yuan-Nong Ye, Zixin Deng, Ju Wang, and Feng-Biao Guo. (2021) Quantitative elucidation of associations between nucleotide identity and physicochemical properties of amino acids and the functional insight. Computational and Structural Biotechnology Journal, 19:4042-4048. (2020 IF=7.271).

1. Chuan Dong&, Yan-Ting Jin&, Hong-Li Hua, Qing-Feng Wen, Sen Luo, Wen-Xin Zheng, Feng-Biao Guo. (2020) Comprehensive review of the identification of essential genes using computational methods: focusing on feature implementation and assessment. Briefings in Bioinformatics, 21(1):171-181. (2019 IF=8.990).