Temporal Data Alignment

Temporal Data Alignment is a computational methodology that integrates multi-omics datasets across staggered time points by synchronizing dynamic biological profiles to a common temporal framework, thereby enabling the inference of coordinated molecular changes over time.

48

Publications

2K

Citations

188

Authors

89

Institutions

Publications per year

2017–2026

18

Authors

188

  1. MA
    Mihalis A. Nicolaou

    Imperial College London, United Kingdom

    3 publications · 111 citations

    3

    h-index

  2. SF
    Sanja Fidler

    University of Toronto, Canada

    2 publications · 600 citations

    2

    h-index

  3. TD
    Tim Dockhorn

    University of Waterloo, Canada

    2 publications · 600 citations

    2

    h-index

  4. HL
    Huan Ling

    University of Toronto, Canada

    2 publications · 600 citations

    2

    h-index

  5. KK
    Karsten Kreis

    University of Toronto, Canada

    2 publications · 600 citations

    2

    h-index

1–5 of 188

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 52 citations

    3

    h-index

  2. 2

    h-index

  3. Journal of Speech Language and Hearing Research

    JSLHR · 1 publications · 27 citations

    1

    h-index

  4. Energy

    1 publications · 37 citations

    1

    h-index

  5. Computing in cardiology

    1 publications · 47 citations

    1

    h-index

1–5