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Zhang Shengli
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Associate professor
Paper Publications
iPro-GAN: A novel model based on generative adversarial learning for identifying promoters and their strength.[J]:Computer Methods and Programs in Biomedicine,2022
Pep-CNN: An improved convolutional neural network for predicting therapeutic peptides.[J]:Chemometrics and Intelligent Laboratory Systems,2022
iR5hmcSC: Identifying RNA 5-hydroxymethylcytosine with multiple features based on stacking learning.[J]:Computational Biology and Chemistry,2021
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
i6mA‑VC: A Multi‑Classifier Voting Method for the Computational Identification of DNA N6‑methyladenine Sites.[J]:Interdisciplinary Sciences: Computational Life Sciences,2021
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
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
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
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
Prediction of protein subcellular localization with oversampling approach and Chou's general PseAAC:Journal of Theoretical Biology,2018,437(1):239-250
Prediction of Protein Subcellular Localization by Using λ-order Factor and Principal Component Analysis:Letters in Organic Chemistry,2017,14(3):717-724
Zhang, Shengli,Accurate prediction of protein structural classes by incorporating PSSS and PSSM into Chou's general PseAAC:CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS,2015,142:28-35
Zhang, Shengli; Liang, Yunyun; Bai, Zhenguo,A Novel Reduced Triplet Composition Based Method to Predict Apoptosis Protein Subcellular Localization:MATCH-COMMUNICATIONS IN MATHEMATICAL AND IN COMPUTER CHEMISTRY,2015,73(2):559-571
Zhang, Shengli,Novel method to numerically characterize protein sequences and its application:Journal of Computational and Theoretical Nanoscience,2015,12(10):3487-3491
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