Area of research
Organic Chemistry · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Catalytic Cross-Coupling Reactions, Radiomics and Machine Learning in Medical Imaging, Single-cell and spatial transcriptomics, and SARS-CoV-2 and COVID-19 Research.
Systematic evaluation of computational methods for cell segmentation.
Identifying T cell antigen at the atomic level with graph convolutional network
Identifying T cell antigen at the atomic level with graph convolutional network.
Charting the spatial transcriptome of the human cerebral cortex at single-cell resolution
Hydroxysafflor yellow A alleviates oxidative stress and inflammatory damage in the livers of mice with nonalcoholic fatty liver disease and modulates gut microbiota
Charting the spatial transcriptome of the human cerebral cortex at single-cell resolution.
Deciphering cell–cell communication at single-cell resolution for spatial transcriptomics with subgraph-based graph attention network
Deciphering cell-cell communication at single-cell resolution for spatial transcriptomics with subgraph-based graph attention network.
The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral Blood
Dimension reduction, cell clustering, and cell–cell communication inference for single-cell transcriptomics with DcjComm
The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral Blood.
Functional requirement of alternative splicing in epithelial-mesenchymal transition of pancreatic circulating tumor
Charting the Spatial Transcriptome of the Human Cerebral Cortex at Single-Cell Resolution
Supplementary Table S7 from The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral Blood
Supplementary Figures S1-S8 from The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral Blood
Supplementary Table S2 from The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral Blood
Supplementary Table S3 from The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral Blood
Supplementary Table S1 from The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral Blood
Supplementary Table S3 from The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral Blood
Supplementary Table S7 from The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral Blood
Supplementary Table S6 from The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral Blood
Supplementary Table S5 from The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral Blood
Supplementary Table S4 from The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral Blood
Data from The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral Blood
Data from The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral Blood
Supplementary Table S2 from The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral Blood
Supplementary Table S5 from The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral Blood
Supplementary Table S6 from The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral Blood
Supplementary Table S4 from The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral Blood
Supplementary Figures S1-S8 from The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral Blood