Threshold Sequences

Threshold Sequences is a methodological framework in spatial sequencing that identifies and analyzes critical transition points in spatially ordered data by defining minimum or maximum allowable deviations that demarcate qualitatively distinct phases or states.

6

Publications

246

Citations

14

Authors

8

Institutions

Publications per year

2017–2026

1

Authors

14

  1. AC
    Alongkrit Chutinan

    Carnegie Mellon University, United States

    1 publications · 16 citations

    1

    h-index

  2. MS
    Mojtaba Soltanalian

    University of Illinois Chicago, United States

    1 publications · 27 citations

    1

    h-index

  3. CH
    Clare Howarth

    University of Nottingham, United Kingdom

    1 publications · 71 citations

    1

    h-index

  4. AE
    Arian Eamaz

    University of Illinois Chicago, United States

    1 publications · 27 citations

    1

    h-index

  5. PL
    P. L. Hammer

    Rutgers, The State University of New Jersey, United States

    1 publications · 57 citations

    1

    h-index

1–5 of 14

Venues

  1. 1

    h-index

  2. Designs Codes and Cryptography

    1 publications · 42 citations

    1

    h-index

  3. IEEE Transactions on Computers

    1 publications · 33 citations

    1

    h-index

  4. IEEE Transactions on Signal Processing

    1 publications · 27 citations

    1

    h-index

  5. Mathematical and Computer Modelling of Dynamical Systems

    MCMDS · 1 publications · 16 citations

    1

    h-index

1–5