✉ 學校郵箱
weidu@jlu.edu.cn
學歷
2011 计算机科学与技术博士, 吉林大學, 中国
2008 计算机科学与技术硕士, 吉林大學, 中国
2005 计算机科学与技术學士, 吉林大學, 中国
現任
吉林大學计算机科学与技术副教授
曾任教科目
基于大数据的生物信息学
基于大数据的计算生物学
Java程序设计
研究方向
机器学习
大数据挖掘
生物信息学
研究及出版
Books
(美)徐鹰等著；王岩，杜伟等译，肿瘤信息学，科学出版社，2016，4月.
梁艳春，张琛，杜伟，吴春国，曹忠波，生物信息学中的数据挖掘方法及应用，科学出版社，2011，11月.
Book Chapters
Zhang C, Sheng T, Cao S, Issa-Boube S, Tang T, Zhu X, Dong N, Du W, Xu Y: Autophagy in Cancer Cells vs. Cancer Tissues: Two Different Stories. In: Targeting Autophagy in Cancer Therapy. Springer; 2016: 17-38. (Book Chapter)
Wang Y, Zhou Y, Zhou C, Wang S, Du W, Zhang C, Liang Y: Approaches and Methods for Operon Prediction based on Machine Learning Techniques. Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications 2011:449-477.(Book Chapter)
Refereed Journal Articles
Tian Y$, Du W$, Cao S, Wu Y, Dong N, Wang Y, Xu Y. Systematic analyses of glutamine and glutamate metabolisms across different cancer types. Chinese Journal Of Cancer，2017, 36, 88. (IF: 4.111)
Song T, Cao S, Sheng T, Liang S, Du W*, Liang Y. A Novel Unsupervised Algorithm for Biological Process-based Analysis on Cancer. Scientific Reports, 2017, 7 (1), 4671. (IF: 4.259)
Cao H$, Du W$, et al.: Systems-level understanding of ethanol-induced stresses and adaptation in E. coli. Scientific Reports, 2017: 44150. (IF: 4.259)
Song T，Liang Y，Cao Z，Du W*，Li Y，Computational Analysis of Specific microRNA Biomarkers for Noninvasive Early Cancer Detection, Biomed Research International, 2017.03.03，4680650 (IF: 2.476)
Du W, Cao Z, Song T, Li Y, Liang Y. A Feature Selection Method Based on Multiple Kernel Learning with Expression Profiles of Different types. BioData Mining, 2017 10:4. (IF: 1.577)
Han S, Liang Y, Li Y, Du W*: Lncident: A Tool for Rapid Identification of Long Non-Coding RNAs Utilizing Sequence Intrinsic Composition and Open Reading Frame Information. International Journal of Genomics, 2016: 9185496 (IF: 2.402)
Song T, Wang Y, Du W*, Cao S, Tian Y, Liang Y: The method for breast cancer grade prediction and pathway analysis based on improved multiple kernel learning. Journal of Bioinformatics and Computational Biology 2017:15(1):1650037. (IF: 0.800)
Han S, Liang Y, Li Y, Du W*: Long Noncoding RNA Identification: Comparing Machine Learning Based Tools for Long Noncoding Transcripts Discrimination. BioMed Research International, 2016: 8496165. (IF: 2.476)
