穆增超

山东大学, 威海校区, 副教授

教育经历:

       (1) 2014-09 至 2018-06, 山东大学, 运筹学与控制论, 博士

       (2) 2000-09 至 2003-03, 西安电子科技大学, 应用数学, 硕士

       (3) 1996-09 至 2000-07, 曲阜师范大学, 数学教育, 学士

科研与学术工作经历(博士后工作经历除外):

       (1) 2021-09 至 今, 山东大学, 数学与统计学院, 副教授

       (2) 2005-09 至 2021-08, 山东大学, 数学与统计学院, 讲师

       (3) 2003-07 至 2005-08, 山东大学, 数学与统计学院, 助教

近五年主持或参加的国家自然科学基金项目/课题:

       (1) 国家自然科学基金委员会, 面上项目, 62072277, 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, 2021-01-01 至 2024-12-31, 56万元, 在研, 参与

       (2) 国家自然科学基金委员会, 重点项目, 11931008, 基于图与组合优化的生物数据和网络数据挖掘算法研究, 2020-01-01 至 2024-12-31, 270万元, 在研, 参与

       (3) 国家自然科学基金委员会, 面上项目, 61877064, 基于多组学数据的癌症驱动信号通路的识别算法研究, 2019-01-01 至 2022-12-31, 50万元, 在研, 参与

       (4) 国家自然科学基金委员会, 青年科学基金项目, 61801265, 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, 2019-01-01 至 2021-12-31, 25万元, 在研, 参与

       (5) 国家自然科学基金委员会, 面上项目, 61771009, 基于de bruijn graph梳理的宏基因组拼接算法开发, 2018-01-01 至 2021-12-31, 50万元, 在研, 参与

代表性研究成果和学术奖励情况:

代表性论著:

       14. Lesong Wei, Xiucai Ye, Tetsuya Sakurai, Zengchao Mu, Leyi Wei, ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning, Bioinformatics, 2022. (2022-1-6) DOI: 10.1093/bioinformatics/btac006

       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 2022,23(1); bbab379, https://doi.org/10.1093/bib/bbab379. (SCI, 中科院1区Top,IF: 11.622) (2022.1.17)

       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) (2021.11.1)

       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. (2021.6.3)

       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, 2020, 30(8): 1181-1190. (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)

       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)

       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)

       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)