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Jiancheng Zhong

Showing results (1-10 of 25) with videos related to

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Analytical Chemistry|July 22, 2024
FREE: Enhanced Feature Representation for Isotopic Envelope Evaluation in Top-Down Mass Spectra DeconvolutionJiancheng Zhong, Xingran Song, Shaokai Wang
Molecular Genetics and Genomics : MGG|November 7, 2020
iCDA-CMG: identifying circRNA-disease associations by federating multi-similarity fusion and collective matrix completionQiu Xiao, Jiancheng Zhong, Xiwei Tang, et al.
Briefings in Bioinformatics|April 10, 2025
ScFold: a GNN-based model for efficient inverse folding of short-chain proteins via spatial reductionJiancheng Zhong, Zhiwei Zou, Jie Qiu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 11, 2015
Predicting Essential Proteins Based on Weighted Degree CentralityXiwei Tang, Jianxin Wang, Jiancheng Zhong, et al.
Interdisciplinary Sciences, Computational Life Sciences|May 17, 2025
ResNeXt-Based Rescoring Model for Proteoform Characterization in Top-Down Mass SpectraJiancheng Zhong, Yicheng Luo, Chen Yang, et al.
BMC Genomics|November 26, 2013
Prediction of essential proteins based on gene expression programmingJiancheng Zhong, Jianxin Wang, Wei Peng, et al.
Methods (San Diego, Calif.)|June 4, 2017
A novel method of predicting microRNA-disease associations based on microRNA, disease, gene and environment factor networksWei Peng, Wei Lan, Jiancheng Zhong, et al.
Genes|February 7, 2020
Network Embedding the Protein-Protein Interaction Network for Human Essential Genes IdentificationWei Dai, Qi Chang, Wei Peng, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|September 13, 2023
DAHNGC: A Graph Convolution Model for Drug-Disease Association Prediction by Using Heterogeneous NetworkJiancheng Zhong, Pan Cui, Yihong Zhu, et al.
Physical Chemistry Chemical Physics : PCCP|February 26, 2024
Group-IIIA element doped BaSnS<sub>2</sub> as a high efficiency absorber for intermediate band solar cell from a first-principles insightYang Xue, Changqing Lin, Jiancheng Zhong, et al.
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
Analytical Chemistry|July 22, 2024
FREE: Enhanced Feature Representation for Isotopic Envelope Evaluation in Top-Down Mass Spectra DeconvolutionJiancheng Zhong, Xingran Song, Shaokai Wang
Molecular Genetics and Genomics : MGG|November 7, 2020
iCDA-CMG: identifying circRNA-disease associations by federating multi-similarity fusion and collective matrix completionQiu Xiao, Jiancheng Zhong, Xiwei Tang, et al.
Briefings in Bioinformatics|April 10, 2025
ScFold: a GNN-based model for efficient inverse folding of short-chain proteins via spatial reductionJiancheng Zhong, Zhiwei Zou, Jie Qiu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 11, 2015
Predicting Essential Proteins Based on Weighted Degree CentralityXiwei Tang, Jianxin Wang, Jiancheng Zhong, et al.
Interdisciplinary Sciences, Computational Life Sciences|May 17, 2025
ResNeXt-Based Rescoring Model for Proteoform Characterization in Top-Down Mass SpectraJiancheng Zhong, Yicheng Luo, Chen Yang, et al.
BMC Genomics|November 26, 2013
Prediction of essential proteins based on gene expression programmingJiancheng Zhong, Jianxin Wang, Wei Peng, et al.
Methods (San Diego, Calif.)|June 4, 2017
A novel method of predicting microRNA-disease associations based on microRNA, disease, gene and environment factor networksWei Peng, Wei Lan, Jiancheng Zhong, et al.
Genes|February 7, 2020
Network Embedding the Protein-Protein Interaction Network for Human Essential Genes IdentificationWei Dai, Qi Chang, Wei Peng, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|September 13, 2023
DAHNGC: A Graph Convolution Model for Drug-Disease Association Prediction by Using Heterogeneous NetworkJiancheng Zhong, Pan Cui, Yihong Zhu, et al.
Physical Chemistry Chemical Physics : PCCP|February 26, 2024
Group-IIIA element doped BaSnS<sub>2</sub> as a high efficiency absorber for intermediate band solar cell from a first-principles insightYang Xue, Changqing Lin, Jiancheng Zhong, et al.
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