Sparsely Connected Autoencoders: A Multi-Purpose Tool for Single Cell omics Analysis.

Journal: International journal of molecular sciences
Published Date:

Abstract

BACKGROUND: Biological processes are based on complex networks of cells and molecules. Single cell multi-omics is a new tool aiming to provide new incites in the complex network of events controlling the functionality of the cell.

Authors

  • Luca Alessandri
    Department of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Torino, Italy.
  • Maria Luisa Ratto
    Department of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Torino, Italy.
  • Sandro Gepiro Contaldo
    Department of Computer Science, University of Torino, 10149 Torino, Italy.
  • Marco Beccuti
    Department of Computer Sciences, University of Torino, 10149 Torino, Italy.
  • Francesca Cordero
    Department of Computer Sciences, University of Torino, 10149 Torino, Italy.
  • Maddalena Arigoni
    Department of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Torino, Italy.
  • Raffaele A Calogero
    Department of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Torino, Italy.