毛果

发布日期:2026年06月01日 来源: 作者:

长沙理工大学计算机学院基本信息表

1、个人基本信息:

   名:毛果

   别:

出生年月:1994.09

技术职称: 讲师

毕业院校国防科技大学

学历(学位):博士

所在学科:计算机科学与技术

研究方向:生物信息学,人工智能

Emai邮箱:1551255898@qq.com


2、教育背景:

2017.09-2020.06

湖南大学

硕士

2019.10-2020.06

香港浸会大学

助理研究员

2020.09-2023.06

国防科技大学

博士

2023.10-2025.06

香港浸会大学

博士后

2025.10-至今

长沙理工大学

讲师

3、 目前研究领域:

主要从事人工智能驱动的计算生物学与生物信息学研究,重点关注单细胞与空间多组学数据解析、基因调控网络推断、图神经网络及深度学习算法开发。

4、已完成或已在承担的主要课题:

w 横向项目:岸滩目标识别算法模型构建、优化及测试,主持,6万,2025年,已结题

5、已发表学术论文:

一、期刊论文

[1] Mao G, Pang Z, Zuo K, Wang Q, Pei X, Chen X, Liu J*. Predicting gene regulatory links from single-cell RNA-seq data using graph neural networks. Briefings in Bioinformatics, 2023, 24(6). SCI一区,IF=13.994ESI高被引论文)DOI: 10.1093/bib/bbad414

[2] Mao G, Zeng R, Peng J, Zuo K, Pang Z, Liu J*. Reconstructing gene regulatory networks of biological function using differential equations of multilayer perceptrons. BMC Bioinformatics, 2022, 23:503. SCI二区,IF=3.5ESI高被引论文)DOI: 10.1186/s12859-022-05055-5

[3] Mao G, Pang Z, Zuo K, Liu J. Gene regulatory network inference using convolutional neural networks from scRNA-seq. Journal of Computational Biology, 2023, 30:1–13. SCI二区,IF=1.4
DOI: 10.1089/cmb.2022.035

[4] Mao G, Wang S L*, Zhang W. Prediction of Potential Associations Between MicroRNA and Disease Based on Bayesian Probabilistic Matrix. Journal of Computational Biology, 2019, 26(9):1030–1039. SCI二区,IF=1.4DOI: 10.1089/cmb.2019.0012

[5] Zhao W, Pei Q, Zhu Y, Zhan D, Mao G, Wang M, Qiu Y, Zuo K, Pei H, Sun LQ, Wen M, Tan R. The Association of R-Loop Binding Proteins Subtypes with CIN Implicates Therapeutic Strategies in Colorectal Cancer. Cancers, 2022, 14:5607. SCI一区,IF=4.5

二、会议论文

[1] Mao G, Yip H F, Lyu A*, Zhang L*. IDCLP: A Deep Learning Framework for Predicting Chemical-Induced Gene Expression Profiles through Multisource Data Integration. Proceedings of the 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2025, CCF B类会议), 2025.DOI: 10.1109/BIBM66473.2025.11356206

[2] Mao G, Liu J*. An Unsupervised Deep Learning Framework for Gene Regulatory Network Inference from Single-Cell Expression Data. Proceedings of the 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2023, CCF B类会议), 2023.DOI: 10.1109/BIBM58861.2023.10385528

[3] Mao G, Pang Z, Liu J*, Zuo K. A Neuro-Genetic Approach for Inferring Gene Regulatory Networks from Gene Expression Data. Proceedings of the 9th International Conference on Bioinformatics Research and Applications (ICBRA 2022), 2022.DOI: 10.1145/3569192.3569193

[4] Mao G, Pang Z, Zuo K, Liu J. GGN: A Model-Free, Data-Driven Deep Learning Framework for Reconstructing Gene Regulatory Networks. Proceedings of the 13th International Conference on Bioscience, Biochemistry and Bioinformatics (ICBBB 2023), 2023. DOI: 10.1145/3586139.358615

[5] Mao G, Wang S L*. A Novel Approach to Predicting miRNA-Disease Associations. In: Huang D S, Jo K H, Huang Z K (Eds.). Intelligent Computing Theories and Application (ICIC 2019), 2019.
DOI: 10.1007/978-3-030-26969-2_34

6论著之外的代表性研究成果和学术奖励

w 专利号:ZL 2024 1 0239151.6:一种基因调控网络构建方法、装置、设备、存储介质, 发明人: 刘杰;\textbf{毛果 (导师第一作,本人第二作)};庞征斌;左克;王庆林

7、 竞赛指导与学生培育:

w 共享儿女——基于代际陪伴的智慧养老服务平台 第一指导老师,项目成员:鄢如意、王子涵、毛源、龚佳悦、伍俊威 2026年“挑战杯”大学生创业计划二等奖(长沙理工大学计算机学院)

8、 所获学术荣誉及学术影响:

w