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Yong-Zi Chen

Showing results (1-10 of 19) with videos related to

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Plant Molecular Biology|February 2, 2021
Computational identification of ubiquitination sites in Arabidopsis thaliana using convolutional neural networksXiaofeng Wang, Renxiang Yan, Yong-Zi Chen, et al.
Plos One|June 22, 2012
SUMOhydro: a novel method for the prediction of sumoylation sites based on hydrophobic propertiesYong-Zi Chen, Zhen Chen, Yu-Ai Gong, et al.
Frontiers in Cellular and Infection Microbiology|July 30, 2025
Fungi-Kcr: a language model for predicting lysine crotonylation in pathogenic fungal proteinsYong-Zi Chen, Xiaofeng Wang, Zhuo-Zhi Wang, et al.
BMC Bioinformatics|February 20, 2008
Prediction of mucin-type O-glycosylation sites in mammalian proteins using the composition of k-spaced amino acid pairsYong-Zi Chen, Yu-Rong Tang, Zhi-Ya Sheng, et al.
Protein Engineering, Design & Selection : PEDS|February 22, 2008
An improved prediction of catalytic residues in enzyme structuresYu-Rong Tang, Zhi-Ya Sheng, Yong-Zi Chen, et al.
Protein Engineering, Design & Selection : PEDS|July 27, 2007
GANNPhos: a new phosphorylation site predictor based on a genetic algorithm integrated neural networkYu-Rong Tang, Yong-Zi Chen, Carlos A Canchaya, et al.
Endocrine-Related Cancer|March 31, 2018
Single drug biomarker prediction for ER- breast cancer outcome from chemotherapyYong-Zi Chen, Youngchul Kim, Hatem H Soliman, et al.
The Journal of Steroid Biochemistry and Molecular Biology|February 3, 2025
Characterization of novel sialylation-associated microRNA signature for prognostic assessment in breast cancer and its implications for the tumor microenvironmentYong-Zi Chen, Shilei Xu, Hailing Ren, et al.
Technology in Cancer Research & Treatment|December 7, 2019
Bioinformatics Analysis of Expression and Alterations of BARD1 in Breast CancerYong-Zi Chen, Duo Zuo, Hai-Ling Ren, et al.
Briefings in Bioinformatics|May 18, 2021
nhKcr: a new bioinformatics tool for predicting crotonylation sites on human nonhistone proteins based on deep learningYong-Zi Chen, Zhuo-Zhi Wang, Yanan Wang, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Plant Molecular Biology|February 2, 2021
Computational identification of ubiquitination sites in Arabidopsis thaliana using convolutional neural networksXiaofeng Wang, Renxiang Yan, Yong-Zi Chen, et al.
Plos One|June 22, 2012
SUMOhydro: a novel method for the prediction of sumoylation sites based on hydrophobic propertiesYong-Zi Chen, Zhen Chen, Yu-Ai Gong, et al.
Frontiers in Cellular and Infection Microbiology|July 30, 2025
Fungi-Kcr: a language model for predicting lysine crotonylation in pathogenic fungal proteinsYong-Zi Chen, Xiaofeng Wang, Zhuo-Zhi Wang, et al.
BMC Bioinformatics|February 20, 2008
Prediction of mucin-type O-glycosylation sites in mammalian proteins using the composition of k-spaced amino acid pairsYong-Zi Chen, Yu-Rong Tang, Zhi-Ya Sheng, et al.
Protein Engineering, Design & Selection : PEDS|February 22, 2008
An improved prediction of catalytic residues in enzyme structuresYu-Rong Tang, Zhi-Ya Sheng, Yong-Zi Chen, et al.
Protein Engineering, Design & Selection : PEDS|July 27, 2007
GANNPhos: a new phosphorylation site predictor based on a genetic algorithm integrated neural networkYu-Rong Tang, Yong-Zi Chen, Carlos A Canchaya, et al.
Endocrine-Related Cancer|March 31, 2018
Single drug biomarker prediction for ER- breast cancer outcome from chemotherapyYong-Zi Chen, Youngchul Kim, Hatem H Soliman, et al.
The Journal of Steroid Biochemistry and Molecular Biology|February 3, 2025
Characterization of novel sialylation-associated microRNA signature for prognostic assessment in breast cancer and its implications for the tumor microenvironmentYong-Zi Chen, Shilei Xu, Hailing Ren, et al.
Technology in Cancer Research & Treatment|December 7, 2019
Bioinformatics Analysis of Expression and Alterations of BARD1 in Breast CancerYong-Zi Chen, Duo Zuo, Hai-Ling Ren, et al.
Briefings in Bioinformatics|May 18, 2021
nhKcr: a new bioinformatics tool for predicting crotonylation sites on human nonhistone proteins based on deep learningYong-Zi Chen, Zhuo-Zhi Wang, Yanan Wang, et al.
Pageof 2