肖球 - 湖南师范大学 - 信息科学与工程学院

个人简介

肖球，博士，副教授，硕士生导师，芙蓉计划-湖湘青年英才、湖南省青年科技人才（荷尖）、湖南师范大学“世承人才计划”青年优秀人才、湖南省优秀博士学位论文获得者。主要从事人工智能、生物医药大数据挖掘、智能计算与生物信息处理等领域研究；荣获IEEE计算机协会（IEEE Computer Society）2020年度最佳论文Winner奖（全球共20篇入选）、湖南省计算机学会科学技术奖三等奖（1/3）、湖南大学优秀博士学位论文、湖南省优秀博士学位论文等奖励。主持国家自然科学基金、湖南省“三尖”创新人才工程（荷尖）项目、湖南省自然科学基金、省教育厅优秀青年项目、中国博士后科学基金等课题，在Bioinformatics、Briefings in Bioinformatics、IEEE JBHI、IEEE-ACM TCBB、BIBM等国际期刊和会议上发表论文40余篇，担任Bioinformatics、Briefings in Bioinformatics、TCBB等期刊审稿人，教育部学位与研究生教育发展中心论文评审专家，中国计算机学会（CCF Senior Membership）高级会员、中国人工智能学会（CAAI）会员，中国生物工程学会计算生物学与生物信息学专业委员会委员。

研究领域

智能计算、生物医药大数据挖掘、生物信息处理等领域

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Xiao, Q., Dai, J. and Luo, J. (2022) A survey of circular RNAs in complex diseases: databases, tools and computational methods. Brief Bioinform, 23(1): bbab444. (IF: 13.994, Top Journal) Xiao, Q., Zhang, N., Luo, J., Dai, J. and Tang, X. (2021) Adaptive multi-source multi-view latent feature learning for inferring potential disease-associated miRNAs. Brief Bioinform, 22, 2043-2057. (IF: 13.994, Top Journal) Zhong, J., Tang, C., Peng, W., Xie, M., Sun, Y., Tang, Q., Xiao, Q.* and Yang, J.* (2021) A novel essential protein identification method based on PPI networks and gene expression data. BMC Bioinformatics, 22, 248. Yang, Y., Xie, M., Yuan, S., Zeng, Y., Dong, Y., Wang, Z., Xiao, Q.*, Dong, B.*, Ma, J. and Hu, J. (2021) Sex differences in the associations between adiposity distribution and cardiometabolic risk factors in overweight or obese individuals: a cross-sectional study. BMC Public Health, 21, 1232. Xiao, Q., Fu, Y., Yang, Y., Dai, J. and Luo, J. (2021) NSL2CD: identifying potential circRNA-disease associations based on network embedding and subspace learning. Brief Bioinform, 22, bbab177. (IF: 13.994, Top Journal) Ding, P., Liang, C., Ouyang, W., Li, G., Xiao, Q. and Luo, J. (2021) Inferring Synergistic Drug Combinations Based on Symmetric Meta-Path in a Novel Heterogeneous Network. IEEE/ACM Trans Comput Biol Bioinform, 18, 1562-1571. Xiao, Q., Zhong, J., Tang, X. and Luo, J. (2021) iCDA-CMG: identifying circRNA-disease associations by federating multi-similarity fusion and collective matrix completion. Mol Genet Genomics, 296, 223-233. Xiao, Q., Luo, J., Liang, C., Li, G., Cai, J., Ding, P. and Liu, Y. (2020) Identifying lncRNA and mRNA Co-Expression Modules from Matched Expression Data in Ovarian Cancer. IEEE/ACM Trans Comput Biol Bioinform, 17, 623-634. Xiao, Q., Yu, H., Zhong, J., Liang, C., Li, G., Ding, P. and Luo, J. (2020) An in-silico method with graph-based multi-label learning for large-scale prediction of circRNA-disease associations. Genomics, 112, 3407-3415. Tang, X., Xiao, Q. and Yu, K. (2020) Breast Cancer Candidate Gene Detection Through Integration of Subcellular Localization Data With Protein–Protein Interaction Networks. IEEE Trans Nanobiosci, 19, 556-561. Xiao, Q., Luo, J. and Dai, J. (2019) Computational Prediction of Human Disease-associated circRNAs Based on Manifold Regularization Learning Framework. IEEE J Biomed Health Inform, 23, 2661-2669. Xiao, Q., Luo, J., Liang, C., Cai, J., Li, G. and Cao, B. (2019) CeModule: an integrative framework for discovering regulatory patterns from genomic data in cancer. BMC Bioinformatics, 20, 67. Xiao, Q., Dai, J., Luo, J. and Fujita, H. (2019) Multi-view manifold regularized learning-based method for prioritizing candidate disease miRNAs. Knowledge-Based Systems, 175, 118-129. Zhu, Q., Luo, J., Ding, P. and Xiao, Q. (2018) GRTR: Drug-Disease Association Prediction Based on Graph Regularized Transductive Regression on Heterogeneous Network. International Symposium on Bioinformatics Research and Applications, Cham, pp. 13-25. Xiao, Q., Luo, J., Liang, C., Cai, J. and Ding, P. (2018) A graph regularized non-negative matrix factorization method for identifying microRNA-disease associations. Bioinformatics, 34, 239-248. (ESI 高被引, Top Journal)