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    Home > Biochemistry News > Biotechnology News > Professor Qu Kun's research group systematically evaluated 16 spatial transcriptome and single-cell transcriptome data integration...

    Professor Qu Kun's research group systematically evaluated 16 spatial transcriptome and single-cell transcriptome data integration...

    • Last Update: 2022-08-15
    • Source: Internet
    • Author: User
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    Recently, the research group of Pr.



    Figure 1 : "Screenshot of the official publication"


    The spatial location of a cell within a tissue is critical for its specific functi.



    Professor Qu Kun's research group has long been committed to the development of biological big data analysis algorithms and softwa.



    Figure 2 : Integrated Analysis Process


    The results show that Cell2location , SpatialDWLS and RCTD algorithms can more accurately predict the spatial distribution of cell types; Tangram , gimVI and SpaGE algorithms are the best algorithms for predicting the spatial distribution of gene expressi.



    Professor Qu Kun from the Department of Life Science and Medicine of the University of Science and Technology of China is the corresponding author of this article, and the research group's special associate researcher Li Bin (now a researcher at the Beijing Institute of Life Sciences), doctoral student Zhang Wen, and special associate researcher Guo Chuang are the co-first authors of this artic.



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