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Ruiquan Ge

Showing results (11-20 of 33) with videos related to

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Scientific Reports|May 21, 2017
Multi-label Learning for Predicting the Activities of Antimicrobial PeptidesPu Wang, Ruiquan Ge, Liming Liu, et al.
Frontiers in Genetics|September 9, 2020
EnACP: An Ensemble Learning Model for Identification of Anticancer PeptidesRuiquan Ge, Guanwen Feng, Xiaoyang Jing, et al.
Computational Biology and Chemistry|May 27, 2021
MD-UNET: Multi-input dilated U-shape neural network for segmentation of bladder cancerRuiquan Ge, Huihuang Cai, Xin Yuan, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 8, 2024
HybAVPnet: A Novel Hybrid Network Architecture for Antiviral Peptides PredictionRuiquan Ge, Yixiao Xia, Minchao Jiang, et al.
BMC Medical Informatics and Decision Making|April 14, 2025
Towards interpretable sleep stage classification with a multi-stream fusion networkJingrui Chen, Xiaomao Fan, Ruiquan Ge, et al.
Scientific Reports|September 7, 2016
CRISPRdigger: detecting CRISPRs with better direct repeat annotationsRuiquan Ge, Guoqin Mai, Pu Wang, et al.
Computers in Biology and Medicine|March 31, 2022
ME-ACP: Multi-view neural networks with ensemble model for identification of anticancer peptidesGuanwen Feng, Hang Yao, Chaoneng Li, et al.
Frontiers in Genetics|May 16, 2022
i2APP: A Two-Step Machine Learning Framework For Antiparasitic Peptides IdentificationMinchao Jiang, Renfeng Zhang, Yixiao Xia, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|June 17, 2022
SuccSPred2.0: A Two-Step Model to Predict Succinylation Sites Based on Multifeature Fusion and Selection AlgorithmYixiao Xia, Minchao Jiang, Yizhang Luo, et al.
BMC Bioinformatics|March 24, 2016
McTwo: a two-step feature selection algorithm based on maximal information coefficientRuiquan Ge, Manli Zhou, Youxi Luo, et al.
Pageof 4

Showing results (11-20 of 33) with videos related to

Sort By:
Pageof 4
Scientific Reports|May 21, 2017
Multi-label Learning for Predicting the Activities of Antimicrobial PeptidesPu Wang, Ruiquan Ge, Liming Liu, et al.
Frontiers in Genetics|September 9, 2020
EnACP: An Ensemble Learning Model for Identification of Anticancer PeptidesRuiquan Ge, Guanwen Feng, Xiaoyang Jing, et al.
Computational Biology and Chemistry|May 27, 2021
MD-UNET: Multi-input dilated U-shape neural network for segmentation of bladder cancerRuiquan Ge, Huihuang Cai, Xin Yuan, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 8, 2024
HybAVPnet: A Novel Hybrid Network Architecture for Antiviral Peptides PredictionRuiquan Ge, Yixiao Xia, Minchao Jiang, et al.
BMC Medical Informatics and Decision Making|April 14, 2025
Towards interpretable sleep stage classification with a multi-stream fusion networkJingrui Chen, Xiaomao Fan, Ruiquan Ge, et al.
Scientific Reports|September 7, 2016
CRISPRdigger: detecting CRISPRs with better direct repeat annotationsRuiquan Ge, Guoqin Mai, Pu Wang, et al.
Computers in Biology and Medicine|March 31, 2022
ME-ACP: Multi-view neural networks with ensemble model for identification of anticancer peptidesGuanwen Feng, Hang Yao, Chaoneng Li, et al.
Frontiers in Genetics|May 16, 2022
i2APP: A Two-Step Machine Learning Framework For Antiparasitic Peptides IdentificationMinchao Jiang, Renfeng Zhang, Yixiao Xia, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|June 17, 2022
SuccSPred2.0: A Two-Step Model to Predict Succinylation Sites Based on Multifeature Fusion and Selection AlgorithmYixiao Xia, Minchao Jiang, Yizhang Luo, et al.
BMC Bioinformatics|March 24, 2016
McTwo: a two-step feature selection algorithm based on maximal information coefficientRuiquan Ge, Manli Zhou, Youxi Luo, et al.
Pageof 4