Dimensionality reduction of longitudinal ’omics data using modern tensor factorizations

HIGHLIGHTS

  • who: Uria Mor and collaborators from the Mathematical Sciences, Tel Aviv University, Tel Aviv, Israel, Microbiome and Cancer Division, DKFZ, Heidelberg, Germany have published the paper: Dimensionality reduction of longitudinal u2019omics data using modern tensor factorizations, in the Journal: (JOURNAL) of February/10,/2022
  • what: Building on top of cutting-edge developments in the field of tensor-tensor algebra the authors characterize the unique mathematical properties of the method namely 1) preservation of geometric and statistical traits of the data which enable uncovering information beyond the inter-individual variation that often takes over the focus . . .

     

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