张胜利
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副教授
- 性别：男
- 毕业院校：大连理工大学
- 学历：博士研究生毕业
- 学位：博士研究生毕业
- 在职信息：在岗
- 所在单位：数学与统计学院
- 入职时间： 2011-07-01
- 学科：应用数学. 统计学
- 办公地点：行政辅楼326室
- 电子邮箱：27b93f8b4e0f500da82c205ab81cb4852b22d8bd496e2da5d911f887c6696f95af36f537a356ad3a8a5eb0053a593b08dc0a6fc8cd729a3eb6785c78241afbe7865c748c27fa730033542490ab726f276dbed7ced580cd5d470fe942fbf52523355e322e99c5d1dbd66dd99004adecd784a5cdc2a50757205bb1fe8444bf71eb
访问量：
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[1]iPro-GAN: A novel model based on generative adversarial learning for identifying promoters and their strength.[J]:Computer Methods and Programs in Biomedicine,2022
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[2]Pep-CNN: An improved convolutional neural network for predicting therapeutic peptides.[J]:Chemometrics and Intelligent Laboratory Systems,2022
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[3]iR5hmcSC: Identifying RNA 5-hydroxymethylcytosine with multiple features based on stacking learning.[J]:Computational Biology and Chemistry,2021
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[4]PA-PseU: An incremental passive-aggressive based method for identifying RNA pseudouridine sites via Chou's 5-steps rule.[J]:Chemometrics and Intelligent Laboratory Systems,2021
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[5]i6mA‑VC: A Multi‑Classifier Voting Method for the Computational Identification of DNA N6‑methyladenine Sites.[J]:Interdisciplinary Sciences: Computational Life Sciences,2021
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[6]Zhang Shengli(#)(*); Yu Qianhao; He Haoran; Zhu Fu; Wu Panjing; Gu Lingzhi; Jiang Sijie. iDHS-DSAMS: Identifying DNase I hypersensitive sites based on the dinucleotide property matrix and ensemble bagged tree..[J]:Genomics,2020,112:1282-1289
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[7]Zhang, Shengli(#)(*); Yang, Kaiwen; Lei, Yuqing; Song, Kang. iRSpot-DTS: Predict recombination spots by incorporating the dinucleotide-based spare-cross covariance information into Chou's pseudo components..[J]:Genomics,2019,111(6):1760-1770
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[8]Zhou Cong; Liu Sanyang; Zhang Shengli(*). Identification of amyloidogenic peptides via optimized integrated features space based on physicochemical properties and PSSM..[J]:Analytical Biochemistry,2019,583:113362
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[9]Shengli Zhang, Tongtong Zhang, Chang Liu. Prediction of Apoptosis Protein Subcellular Localization via Heterogenous Features and Hierarchical Extreme Learning Machine.[J]:SAR and QSAR in Environmental Research,2019
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[10]Prediction of protein subcellular localization with oversampling approach and Chou's general PseAAC:Journal of Theoretical Biology,2018,437(1):239-250