Coupled Matrix Decomposition

Coupled Matrix Decomposition is a mathematical framework that jointly factorizes multiple related data matrices by enforcing shared low-dimensional structures across them, enabling integrated analysis of multi-omic datasets within single-cell genomics.

23

Publications

1.2K

Citations

66

Authors

39

Institutions

Publications per year

2017–2026

9

Authors

66

  1. LD
    Lieven De Lathauwer

    KU Leuven, Belgium

    3 publications · 215 citations

    3

    h-index

  2. EA
    Evrim Acar

    University of Copenhagen, Denmark

    3 publications · 432 citations

    3

    h-index

  3. MS
    Mikael Sørensen

    KU Leuven, Belgium

    2 publications · 192 citations

    2

    h-index

  4. MH
    Martin Haardt

    Technische Universität Ilmenau, Germany

    2 publications · 32 citations

    2

    h-index

  5. FY
    Feng Yin

    Chengdu University of Technology, China

    2 publications · 58 citations

    2

    h-index

1–5 of 66

Venues

  1. Applied Mathematical Modelling

    3 publications · 204 citations

    3

    h-index

  2. 2

    h-index

  3. 1

    h-index

  4. Frontiers in Neuroscience

    1 publications · 22 citations

    1

    h-index

  5. Journal of the Franklin Institute

    1 publications · 52 citations

    1

    h-index

1–5