Concepedia

Hidden Markov Model Gap Parameters

Hidden Markov Model Gap Parameters is a methodological construct within probabilistic sequence modeling that specifically defines the emission and transition probabilities governing gap initiation and extension in hidden Markov models tailored for biological sequence alignment.

3

Publications

458

Citations

9

Authors

4

Institutions

Publications per year

2017–2026

0

Parents

Publications

3

1–3 of 3

Authors

9

  1. TJ
    Travis J. Wheeler

    University of Montana, United States

    1 publications · 401 citations

    1

    h-index

  2. FJ
    Fred J. Sigworth

    Yale University, United States

    1 publications · 37 citations

    1

    h-index

  3. JC
    Jody Clements

    Janelia Research Campus, United States

    1 publications · 401 citations

    1

    h-index

  4. SS
    Sheyum Syed

    University of Miami, United States

    1 publications · 37 citations

    1

    h-index

  5. GA
    Gernot A. Fink

    TU Dortmund University, Germany

    1 publications · 20 citations

    1

    h-index

1–5 of 9

Institutions

4

  1. Yale University

    New Haven, United States

    1 h-index

    2 publications

    74 citations

  2. University of Illinois Urbana-Champaign

    Urbana, United States

    1 h-index

    2 publications

    74 citations

  3. Max Planck Institute of Neurobiology

    Martinsried, Germany

    1 h-index

    1 publications

    37 citations

  4. Janelia Research Campus

    Ashburn, United States

    1 h-index

    3 publications

    1.2K citations

1–4 of 4

Venues

  1. BMC Bioinformatics

    1 publications · 401 citations

    1

    h-index

  2. Pattern Recognition

    1 publications · 20 citations

    1

    h-index

  3. Biophysical Journal

    1 publications · 37 citations

    1

    h-index

1–3