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Qiaolin Lu

Showing results (1-10 of 4) with videos related to

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Briefings in Bioinformatics|January 30, 2025
Graph contrastive learning of subcellular-resolution spatial transcriptomics improves cell type annotation and reveals critical molecular pathwaysQiaolin Lu, Jiayuan Ding, Lingxiao Li, et al.
Scientific Reports|September 21, 2023
MSFC: a new feature construction method for accurate diagnosis of mass spectrometry dataXin Feng, Zheyuan Dong, Yingrui Li, et al.
Genome Biology|March 20, 2024
DANCE: a deep learning library and benchmark platform for single-cell analysisJiayuan Ding, Renming Liu, Hongzhi Wen, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|August 8, 2024
SpatialCTD: A Large-Scale Tumor Microenvironment Spatial Transcriptomic Dataset to Evaluate Cell Type Deconvolution for Immuno-OncologyJiayuan Ding, Lingxiao Li, Qiaolin Lu, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Briefings in Bioinformatics|January 30, 2025
Graph contrastive learning of subcellular-resolution spatial transcriptomics improves cell type annotation and reveals critical molecular pathwaysQiaolin Lu, Jiayuan Ding, Lingxiao Li, et al.
Scientific Reports|September 21, 2023
MSFC: a new feature construction method for accurate diagnosis of mass spectrometry dataXin Feng, Zheyuan Dong, Yingrui Li, et al.
Genome Biology|March 20, 2024
DANCE: a deep learning library and benchmark platform for single-cell analysisJiayuan Ding, Renming Liu, Hongzhi Wen, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|August 8, 2024
SpatialCTD: A Large-Scale Tumor Microenvironment Spatial Transcriptomic Dataset to Evaluate Cell Type Deconvolution for Immuno-OncologyJiayuan Ding, Lingxiao Li, Qiaolin Lu, et al.
Pageof 1