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Zhao-Yu Fang

Showing results (1-10 of 5) with videos related to

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Frontiers in Genetics|August 1, 2020
Intron Retention as a Mode for RNA-Seq Data AnalysisJian-Tao Zheng, Cui-Xiang Lin, Zhao-Yu Fang, et al.
Computational and Structural Biotechnology Journal|December 13, 2023
A comprehensive overview of graph neural network-based approaches to clustering for spatial transcriptomicsTeng Liu, Zhao-Yu Fang, Zongbo Zhang, et al.
Briefings in Bioinformatics|June 16, 2021
REBET: a method to determine the number of cell clusters based on batch effect removalZhao-Yu Fang, Cui-Xiang Lin, Yun-Pei Xu, et al.
Briefings in Bioinformatics|April 20, 2023
Graph deep learning enabled spatial domains identification for spatial transcriptomicsTeng Liu, Zhao-Yu Fang, Xin Li, et al.
Frontiers in Genetics|August 13, 2021
RFCell: A Gene Selection Approach for scRNA-seq Clustering Based on Permutation and Random ForestYuan Zhao, Zhao-Yu Fang, Cui-Xiang Lin, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Frontiers in Genetics|August 1, 2020
Intron Retention as a Mode for RNA-Seq Data AnalysisJian-Tao Zheng, Cui-Xiang Lin, Zhao-Yu Fang, et al.
Computational and Structural Biotechnology Journal|December 13, 2023
A comprehensive overview of graph neural network-based approaches to clustering for spatial transcriptomicsTeng Liu, Zhao-Yu Fang, Zongbo Zhang, et al.
Briefings in Bioinformatics|June 16, 2021
REBET: a method to determine the number of cell clusters based on batch effect removalZhao-Yu Fang, Cui-Xiang Lin, Yun-Pei Xu, et al.
Briefings in Bioinformatics|April 20, 2023
Graph deep learning enabled spatial domains identification for spatial transcriptomicsTeng Liu, Zhao-Yu Fang, Xin Li, et al.
Frontiers in Genetics|August 13, 2021
RFCell: A Gene Selection Approach for scRNA-seq Clustering Based on Permutation and Random ForestYuan Zhao, Zhao-Yu Fang, Cui-Xiang Lin, et al.
Pageof 1