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Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
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Specificity-driven cell-gene graph learning identifies rare cell states in single-cell and spatial transcriptomic

Jinjin Huang1,2, Xuanzhe Xia2, Feng Luo1

  • 1School of Agriculture and Biotechnology, Sun Yat-Sen University Shenzhen Campus, Shenzhen, 518107, China.

Advanced Biotechnology
|July 16, 2026
PubMed
Summary

No abstract available in PubMed .

Keywords:
Cell-gene graph learningHeterogeneous graph transformerRare cell identificationSingle-cell RNA sequencingSpatial transcriptomics

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Cell Specific Gene Expression01:58

Cell Specific Gene Expression

Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
Cell Specific Gene Expression01:58

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