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Shijian Ding

Showing results (11-20 of 26) with videos related to

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Biomolecules|December 23, 2022
Identification of Transcriptome Biomarkers for Severe COVID-19 with Machine Learning MethodsXiaohong Li, Xianchao Zhou, Shijian Ding, et al.
Frontiers in Genetics|November 28, 2022
Identification of COVID-19 severity biomarkers based on feature selection on single-cell RNA-Seq data of CD8<sup>+</sup> T cellsJian Lu, Mei Meng, XianChao Zhou, et al.
Frontiers in Molecular Biosciences|May 27, 2022
Identifying Methylation Signatures and Rules for COVID-19 With Machine Learning MethodsZhandong Li, Zi Mei, Shijian Ding, et al.
Proteomics|January 23, 2024
Analyzing domain features of small proteins using a machine-learning methodShiJian Ding, HuiPing Liao, FeiMing Huang, et al.
Life (Basel, Switzerland)|February 25, 2022
Predicting Heart Cell Types by Using Transcriptome Profiles and a Machine Learning MethodShijian Ding, Deling Wang, Xianchao Zhou, et al.
Frontiers in Genetics|March 26, 2021
Identifying the Signatures and Rules of Circulating Extracellular MicroRNA for Distinguishing Cancer SubtypesFei Yuan, Zhandong Li, Lei Chen, et al.
Frontiers in Molecular Neuroscience|October 31, 2022
Characterization of spleen and lymph node cell types <i>via</i> CITE-seq and machine learning methodsHao Li, Deling Wang, Xianchao Zhou, et al.
Frontiers in Cell and Developmental Biology|December 17, 2021
Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell LinesShiJian Ding, Hao Li, Yu-Hang Zhang, et al.
Journal of Chemical Information and Modeling|June 2, 2026
Generative Artificial Intelligence Optimization of Albumin Binders: Coumarin and Fatty Acid DerivativesYihao Zhang, Qirui Deng, Xin Yang, et al.
Journal of Translational Medicine|July 2, 2024
Advancing targeted combination chemotherapy in triple negative breast cancer: nucleolin aptamer-mediated controlled drug releaseYuan Ma, Duoli Xie, Zefeng Chen, et al.
Pageof 3

Showing results (11-20 of 26) with videos related to

Sort By:
Pageof 3
Biomolecules|December 23, 2022
Identification of Transcriptome Biomarkers for Severe COVID-19 with Machine Learning MethodsXiaohong Li, Xianchao Zhou, Shijian Ding, et al.
Frontiers in Genetics|November 28, 2022
Identification of COVID-19 severity biomarkers based on feature selection on single-cell RNA-Seq data of CD8<sup>+</sup> T cellsJian Lu, Mei Meng, XianChao Zhou, et al.
Frontiers in Molecular Biosciences|May 27, 2022
Identifying Methylation Signatures and Rules for COVID-19 With Machine Learning MethodsZhandong Li, Zi Mei, Shijian Ding, et al.
Proteomics|January 23, 2024
Analyzing domain features of small proteins using a machine-learning methodShiJian Ding, HuiPing Liao, FeiMing Huang, et al.
Life (Basel, Switzerland)|February 25, 2022
Predicting Heart Cell Types by Using Transcriptome Profiles and a Machine Learning MethodShijian Ding, Deling Wang, Xianchao Zhou, et al.
Frontiers in Genetics|March 26, 2021
Identifying the Signatures and Rules of Circulating Extracellular MicroRNA for Distinguishing Cancer SubtypesFei Yuan, Zhandong Li, Lei Chen, et al.
Frontiers in Molecular Neuroscience|October 31, 2022
Characterization of spleen and lymph node cell types <i>via</i> CITE-seq and machine learning methodsHao Li, Deling Wang, Xianchao Zhou, et al.
Frontiers in Cell and Developmental Biology|December 17, 2021
Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell LinesShiJian Ding, Hao Li, Yu-Hang Zhang, et al.
Journal of Chemical Information and Modeling|June 2, 2026
Generative Artificial Intelligence Optimization of Albumin Binders: Coumarin and Fatty Acid DerivativesYihao Zhang, Qirui Deng, Xin Yang, et al.
Journal of Translational Medicine|July 2, 2024
Advancing targeted combination chemotherapy in triple negative breast cancer: nucleolin aptamer-mediated controlled drug releaseYuan Ma, Duoli Xie, Zefeng Chen, et al.
Pageof 3