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Journal of Hazardous Materials
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April 5, 2024
Advancing microplastic surveillance through photoacoustic imaging and deep learning techniques
Mengyuan Huang, Kaitai Han, Wu Liu, et al.
Journal of the American Medical Informatics Association : JAMIA
|
September 3, 2025
Multimodal deep learning for immunotherapy response prediction and biomarker discovery in non-small cell lung cancer
Zijun Wang, Xi Liu, Kaitai Han, et al.
Journal of Genetics and Genomics = Yi Chuan Xue Bao
|
November 22, 2024
KanCell: dissecting cellular heterogeneity in biological tissues through integrated single-cell and spatial transcriptomics
Zhenghui Wang, Ruoyan Dai, Mengqiu Wang, et al.
International Journal of Biological Macromolecules
|
April 7, 2025
Enhanced inhibitor-kinase affinity prediction via integrated multimodal analysis of drug molecule and protein sequence features
Zhenxing Li, Kaitai Han, Zijun Wang, et al.
Briefings in Bioinformatics
|
April 17, 2024
Attention-guided variational graph autoencoders reveal heterogeneity in spatial transcriptomics
Lixin Lei, Kaitai Han, Zijun Wang, et al.
Life Sciences
|
November 2, 2024
GraphCVAE: Uncovering cell heterogeneity and therapeutic target discovery through residual and contrastive learning
Zhiwei Zhang, Mengqiu Wang, Ruoyan Dai, et al.
Journal of Environmental Management
|
May 1, 2024
Innovative methods for microplastic characterization and detection: Deep learning supported by photoacoustic imaging and automated pre-processing data
Kaitai Han, Mengyuan Huang, Zhenghui Wang, et al.
Biochimica Et Biophysica Acta. General Subjects
|
March 24, 2024
Enhancing subcellular protein localization mapping analysis using Sc2promap utilizing attention mechanisms
Kaitai Han, Xi Liu, Guocheng Sun, et al.
Interdisciplinary Sciences, Computational Life Sciences
|
March 6, 2026
SpatioFreq: A Deep Learning Framework for Decoding Cellular and Tissue Landscapes Across Organisms Using Spatial Transcriptomics
Zhenghui Wang, Ruoyan Dai, Mengqiu Wang, et al.
Journal of Molecular Medicine (Berlin, Germany)
|
July 21, 2025
GraphCellNet: A deep learning method for integrated single-cell and spatial transcriptomic analysis with applications in development and disease
Ruoyan Dai, Zhenghui Wang, Zhiwei Zhang, et al.
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Search research articles
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Showing results (1-10 of 15) with videos related to
Sort By:
Page
of 2
Journal of Hazardous Materials
|
April 5, 2024
Advancing microplastic surveillance through photoacoustic imaging and deep learning techniques
Mengyuan Huang, Kaitai Han, Wu Liu, et al.
Journal of the American Medical Informatics Association : JAMIA
|
September 3, 2025
Multimodal deep learning for immunotherapy response prediction and biomarker discovery in non-small cell lung cancer
Zijun Wang, Xi Liu, Kaitai Han, et al.
Journal of Genetics and Genomics = Yi Chuan Xue Bao
|
November 22, 2024
KanCell: dissecting cellular heterogeneity in biological tissues through integrated single-cell and spatial transcriptomics
Zhenghui Wang, Ruoyan Dai, Mengqiu Wang, et al.
International Journal of Biological Macromolecules
|
April 7, 2025
Enhanced inhibitor-kinase affinity prediction via integrated multimodal analysis of drug molecule and protein sequence features
Zhenxing Li, Kaitai Han, Zijun Wang, et al.
Briefings in Bioinformatics
|
April 17, 2024
Attention-guided variational graph autoencoders reveal heterogeneity in spatial transcriptomics
Lixin Lei, Kaitai Han, Zijun Wang, et al.
Life Sciences
|
November 2, 2024
GraphCVAE: Uncovering cell heterogeneity and therapeutic target discovery through residual and contrastive learning
Zhiwei Zhang, Mengqiu Wang, Ruoyan Dai, et al.
Journal of Environmental Management
|
May 1, 2024
Innovative methods for microplastic characterization and detection: Deep learning supported by photoacoustic imaging and automated pre-processing data
Kaitai Han, Mengyuan Huang, Zhenghui Wang, et al.
Biochimica Et Biophysica Acta. General Subjects
|
March 24, 2024
Enhancing subcellular protein localization mapping analysis using Sc2promap utilizing attention mechanisms
Kaitai Han, Xi Liu, Guocheng Sun, et al.
Interdisciplinary Sciences, Computational Life Sciences
|
March 6, 2026
SpatioFreq: A Deep Learning Framework for Decoding Cellular and Tissue Landscapes Across Organisms Using Spatial Transcriptomics
Zhenghui Wang, Ruoyan Dai, Mengqiu Wang, et al.
Journal of Molecular Medicine (Berlin, Germany)
|
July 21, 2025
GraphCellNet: A deep learning method for integrated single-cell and spatial transcriptomic analysis with applications in development and disease
Ruoyan Dai, Zhenghui Wang, Zhiwei Zhang, et al.
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of 2