Heterogeneous Ensemble Analysis

Heterogeneous Ensemble Analysis is a computational framework in single-molecule force spectroscopy that enables the decomposition and interpretation of complex biomolecular populations by identifying distinct subpopulations within a heterogeneous ensemble of molecular trajectories based on their mechanical signatures.

24

Publications

1.4K

Citations

87

Authors

54

Institutions

Publications per year

2017–2026

11

Authors

87

  1. GP
    Gaurav Pandey

    Icahn School of Medicine at Mount Sinai, United States

    2 publications · 46 citations

    2

    h-index

  2. SD
    Shiv D. Kale

    Virginia Tech, United States

    1 publications · 13 citations

    1

    h-index

  3. RI
    Rosdiazli Ibrahim

    Universiti Teknologi Petronas, Malaysia

    1 publications · 19 citations

    1

    h-index

  4. ST
    Suppawong Tuarob

    Mahidol University, Thailand

    1 publications · 113 citations

    1

    h-index

  5. LW
    Linhua Wang

    Baylor College of Medicine, United States

    1 publications · 13 citations

    1

    h-index

1–5 of 87

Venues

  1. Proceedings of the National Academy of Sciences

    PNAS · 2 publications · 419 citations

    2

    h-index

  2. Physical Review Letters

    PRL · 1 publications · 98 citations

    1

    h-index

  3. Journal of Fluorescence

    1 publications · 33 citations

    1

    h-index

  4. Methods

    1 publications · 33 citations

    1

    h-index

  5. Biophysical Journal

    1 publications · 97 citations

    1

    h-index

1–5