Tensor‐structured decomposition improves systems serology analysis

Molecular Systems Biology

Zhixin Cyrillus Tan¹  Aaron S Meyer²  Madeleine C Murphy³  Scott D Taylor⁴  Hakan S Alpay⁵ 

[1] Bioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, USA;Bioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, USA;Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA;Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, USA;Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, Los Angeles, CA, USA;Computational and Systems Biology, University of California, Los Angeles, Los Angeles, CA, USA;Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA;Department of Computer Science, University of California, Los Angeles, Los Angeles, CA, USA;

关键词: effector function;    HIV;    SARS‐CoV‐2;    systems serology;    tensor decomposition;   

DOI  :  10.15252/msb.202110243

来源: Wiley

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