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Guanxun Li

Showing results (1-10 of 8) with videos related to

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Genes|November 25, 2023
Robust Differential Abundance Analysis of Microbiome Sequencing DataGuanxun Li, Lu Yang, Jun Chen, et al.
Patterns (New York, N.Y.)|December 18, 2020
scTenifoldNet: A Machine Learning Workflow for Constructing and Comparing Transcriptome-wide Gene Regulatory Networks from Single-Cell DataDaniel Osorio, Yan Zhong, Guanxun Li, et al.
Briefings in Bioinformatics|October 5, 2023
Interpretable modeling of time-resolved single-cell gene-protein expression with CrossmodalNetYongjian Yang, Yu-Te Lin, Guanxun Li, et al.
Cells|December 22, 2019
Single-Cell Expression Variability Implies Cell FunctionDaniel Osorio, Xue Yu, Yan Zhong, et al.
Genes|February 25, 2022
scInTime: A Computational Method Leveraging Single-Cell Trajectory and Gene Regulatory Networks to Identify Master Regulators of Cellular DifferentiationQian Xu, Guanxun Li, Daniel Osorio, et al.
Cell Systems|February 14, 2023
scTenifoldXct: A semi-supervised method for predicting cell-cell interactions and mapping cellular communication graphsYongjian Yang, Guanxun Li, Yan Zhong, et al.
Nucleic Acids Research|May 29, 2023
Gene knockout inference with variational graph autoencoder learning single-cell gene regulatory networksYongjian Yang, Guanxun Li, Yan Zhong, et al.
Patterns (New York, N.Y.)|May 5, 2022
scTenifoldKnk: An efficient virtual knockout tool for gene function predictions via single-cell gene regulatory network perturbationDaniel Osorio, Yan Zhong, Guanxun Li, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Genes|November 25, 2023
Robust Differential Abundance Analysis of Microbiome Sequencing DataGuanxun Li, Lu Yang, Jun Chen, et al.
Patterns (New York, N.Y.)|December 18, 2020
scTenifoldNet: A Machine Learning Workflow for Constructing and Comparing Transcriptome-wide Gene Regulatory Networks from Single-Cell DataDaniel Osorio, Yan Zhong, Guanxun Li, et al.
Briefings in Bioinformatics|October 5, 2023
Interpretable modeling of time-resolved single-cell gene-protein expression with CrossmodalNetYongjian Yang, Yu-Te Lin, Guanxun Li, et al.
Cells|December 22, 2019
Single-Cell Expression Variability Implies Cell FunctionDaniel Osorio, Xue Yu, Yan Zhong, et al.
Genes|February 25, 2022
scInTime: A Computational Method Leveraging Single-Cell Trajectory and Gene Regulatory Networks to Identify Master Regulators of Cellular DifferentiationQian Xu, Guanxun Li, Daniel Osorio, et al.
Cell Systems|February 14, 2023
scTenifoldXct: A semi-supervised method for predicting cell-cell interactions and mapping cellular communication graphsYongjian Yang, Guanxun Li, Yan Zhong, et al.
Nucleic Acids Research|May 29, 2023
Gene knockout inference with variational graph autoencoder learning single-cell gene regulatory networksYongjian Yang, Guanxun Li, Yan Zhong, et al.
Patterns (New York, N.Y.)|May 5, 2022
scTenifoldKnk: An efficient virtual knockout tool for gene function predictions via single-cell gene regulatory network perturbationDaniel Osorio, Yan Zhong, Guanxun Li, et al.
Pageof 1