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Nat. Comm. | use tensor cell2cell to deconvolute cell communication with environmental awareness
2022-07-03 04:00:00 【Zhiyuan community】
This paper introduces the Department of bioengineering at the University of California, San Diego Nathan E. Lewis Newsletter published on Nature Communications Research results of : The author introduces Tensor-cell2cell, This is an unsupervised method based on tensor decomposition , It explains multiple stages of cells at the same time 、 State or location to decipher context driven intercellular communication . So ,Tensor-cell2cell It is revealed that it is related to different phenotypic states and is determined by cell types and ligands - The unique combination of receptor pairs determines the context driven communication mode .Tensor-cell2cell It effectively improves and expands the analysis ability of existing tools . The author found ,Tensor-cell2cell It can identify multiple modules related to the obvious communication process , These communication processes are related to COVID-19 Severity is associated with autism spectrum disorders . therefore , The author introduces an effective and easy-to-use strategy to understand complex communication modes under different conditions .

Thesis link :
https://www.nature.com/articles/s41467-022-31369-2
data :
https://doi.org/10.24433/CO.0051950.v2
Code :
https://doi.org/10.24433/CO.0051950.v2 http://lewislab.ucsd.edu/cell2cell/
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