生物信息学

1. 基于图与组合优化的生物数据和网络数据挖掘算法研究，国家自然科学基金委员会，重点项目，2020/01-2024/12，参与；
2. 乳腺癌精准医学中的数学模型与算法研究，科技部，国家重点研发计划，2020/07-2025/06，参与；
3. 国家自然科学基金委员会，面上项目，基于单细胞多组学数据的细胞特异性分析及其调控机制相关算法研究，2023-2026，参与；
4. 基于RNA测序数据的转录组拼接算法设计与分析，国家自然科学基金委员会，面上项目，参与，2023/01-2026/12；
5. 基于参考基因组的转录组拼接算法研究及其在癌症中的应用，国家自然科学基金委员会，青年项目，2019/01-2021/12，参与；
6.  基于时序单细胞转录组测序数据的转录调控网络构建与干细胞谱系命运决定系统模型，国家自然科学基金委员会，面上项目，2021/01-2024/12，参与.

15. Bingqing Han, Nan Zhao, Chengshi Zeng, Zengchao Mu*, Xinqi Gong*. ACPred‑BMF--bidirectional LSTM with multiple feature representations for explainable anticancer peptide prediction，Scientifc Reports, 2022, 12:21915.
14. Lesong Wei, Xiucai Ye, Tetsuya Sakurai, Zengchao Mu, Leyi Wei, ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning. Bioinformatics, 38(6): 1514-1524 (2022)(SCI, IF:6.931)
13. Chunxiang Wang#, Zengchao Mu#, Chaozhou Mou#, Hongyu Zheng, Juntao Liu*, Consensus-based clustering of single cells by reconstructing cell-to-cell dissimilarity. Briefings in Bioinformatics 2021; bbab379, https://doi.org/10.1093/bib/bbab379. (SCI, 中科院1区Top，IF: 11.622)
12. Ting Yu, Renmin Han, Zhaoyuan Fang, Zengchao Mu, Hongyu Zheng, Juntao Liu*, TransRef enables accurate transcriptome assembly by redefining accurate neo-splicing graphs. Briefings in Bioinformatics, 22(6), 2021, 1–13(SCI, 中科院1区Top，IF: 11.622)
11. Yuyao Gao†, Xiao Chang*†, Jie Xia†, Shaoyan Sun, Zengchao Mu*, Xiaoping Liu*, Identification of HCC-related genes based on differential partial correlation network, Frontiers in Genetics, 2021, 12:672117. doi: 10.3389/fgene.2021.672117
10. Zengchao Mu†, Ting Yu†, Xiaoping Liu†, Hongyu Zheng, Leyi Wei*, Juntao Liu*, FEGS: a novel feature extraction model for protein sequences and its applications,  BMC Bioinformatics 2021, 22 (1):297. 
9. Ting Yu, Zengchao Mu, Zhaoyuan Fang, Xiaoping Liu, Xin Gao, Juntao Liu (2020.8.17), TransBorrow: Genome-guided transcriptome assembly by borrowing assemblies from different assemblers. Genome Research, 30(8). (SCI, 中科院1区Top, IF: 11.093) (共同一作)
8. Zengchao Mu, Ting Yu, Enfeng Qi, Juntao Liu, Guojun Li (2019.06) DCGR: Feature extractions from protein sequences based on CGR via remodeling multiple information. BMC Bioinformatics, 20:351. (SCI, 中科院2区，IF：2.511)
7. Juntao Liu, Ting Yu, Zengchao Mu, Guojun Li (2019.4.9) TransLiG: a de novo transcriptome assembler that uses line graph iteration. Genome Biology, 28(81). (SCI, 中科院1区Top, IF：14.028)
6. Zengchao Mu, Guojun Li, Haiyan Wu, Xingqin Qi, 3D-PAF Curve: A Novel Graphical Representation of Protein Sequences for Similarity Analysis, MATCH Commun. Math. Comput. Chem. 2016, 75(2), 447-462. (SCI, 中科院2区, IF 3.858)
5. Haiyan Wu, Yusen Zhang, Wei Chen, Zengchao Mu, Comparative analysis of protein primary sequences with graph energy, Physica A, 2015, 437, 249-262. (SCI)
4. Jing Wu, Yusen Zhang*, Zengchao Mu, Predicting Nucleosome Positioning Based on Geometrically Transformed Tsallis Entropy, PLOS ONE, 2014, 9 (11):e109395. (SCI)
3. Zengchao Mu, Jing Wu, Yusen Zhang, A novel method for similarity/dissimilarity analysis of protein sequences, Physica A, 2013, 392(24), 6361-6366. (SCI)
2. Yusen Zhang, Ivan Gutman, Jiaguo Liu, Zengchao Mu, q-Analog of Wiener Index, MATCH Commun. Math. Comput. Chem. 2012, 67, 347-356. (SCI)
1. Jiaguo Liu, Ivan Gutman, Zengchao Mu, Yusen Zhang, q-Wiener index of some compound trees, Applied Mathematics and Computation, 2012, 218, 9528-9535.  (SCI)

Email: muzengchao@sdu.edu.cn

1. 获评2007年全国大学生数学建模竞赛“学生科技活动指导园丁”称号；
2. 2008年获山东大学教学成果奖二等奖；
3. 获评山东大学（威海）2016-2017学年优秀本科生导师；
4. 获评2019年度山东大学工会工作先进个人;
5. 获评2019年度学科竞赛优秀指导教师，
6. 获评2019年度山东大学（威海）数学与统计学院优秀党员；
7. 指导全国大学生数学建模竞赛获国家一等奖两项，国家二等奖两项，省一、二、三等奖多项.