echemi logo
Product
  • Product
  • Supplier
  • Inquiry
    Home > Biochemistry News > Biotechnology News > Performance of 16 spatial transcriptome and single-cell transcriptome data integration algorithms in predicting the spatial distribution of genes or cell types

    Performance of 16 spatial transcriptome and single-cell transcriptome data integration algorithms in predicting the spatial distribution of genes or cell types

    • Last Update: 2022-08-15
    • Source: Internet
    • Author: User
    Search more information of high quality chemicals, good prices and reliable suppliers, visit www.echemi.com

    <>

    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.





    This article is an English version of an article which is originally in the Chinese language on echemi.com and is provided for information purposes only. This website makes no representation or warranty of any kind, either expressed or implied, as to the accuracy, completeness ownership or reliability of the article or any translations thereof. If you have any concerns or complaints relating to the article, please send an email, providing a detailed description of the concern or complaint, to service@echemi.com. A staff member will contact you within 5 working days. Once verified, infringing content will be removed immediately.

    Contact Us

    The source of this page with content of products and services is from Internet, which doesn't represent ECHEMI's opinion. If you have any queries, please write to service@echemi.com. It will be replied within 5 days.

    Moreover, if you find any instances of plagiarism from the page, please send email to service@echemi.com with relevant evidence.