Tensor Decomposition Discriminates Tissues Using scATAC-seq

Abstract

ATAC-seq is a powerful tool to measure the landscape structure of a chromosome. scATAC-seq is a recently updated version of ATAC-seq performed in a single cell.

The problem of scATAC-seq is data sparsity and most of the genomic sites are inaccessible.

Here, tensor decomposition (TD) was used to fill in missing values. In this study, TD was applied to massive scATAC-seq data and it generated averaging within 200 bp intervals and this number can be as high as 13,627,618. Currently, no other methods can deal with large sparse matrices.