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Xinnan Dai

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

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BMC Bioinformatics|June 3, 2021
PIKE-R2P: Protein-protein interaction network-based knowledge embedding with graph neural network for single-cell RNA to protein predictionXinnan Dai, Fan Xu, Shike Wang, et al.
Methods (San Diego, Calif.)|October 11, 2020
Ensemble learning models that predict surface protein abundance from single-cell multimodal omics dataFan Xu, Shike Wang, Xinnan Dai, 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.
Nature Communications|August 30, 2024
AI-powered omics-based drug pair discovery for pyroptosis therapy targeting triple-negative breast cancerBoshu Ouyang, Caihua Shan, Shun Shen, et al.
Pageof 1

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

Sort By:
Pageof 1
BMC Bioinformatics|June 3, 2021
PIKE-R2P: Protein-protein interaction network-based knowledge embedding with graph neural network for single-cell RNA to protein predictionXinnan Dai, Fan Xu, Shike Wang, et al.
Methods (San Diego, Calif.)|October 11, 2020
Ensemble learning models that predict surface protein abundance from single-cell multimodal omics dataFan Xu, Shike Wang, Xinnan Dai, 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.
Nature Communications|August 30, 2024
AI-powered omics-based drug pair discovery for pyroptosis therapy targeting triple-negative breast cancerBoshu Ouyang, Caihua Shan, Shun Shen, et al.
Pageof 1