Kinetic Parameter Inference

Kinetic Parameter Inference is a computational method that belongs to the class of mathematical modeling techniques used in transcriptional bursting analysis, specifically distinguished by its purpose of estimating rate parameters—such as burst frequency and burst size—from gene expression data.

42

Publications

1.4K

Citations

152

Authors

86

Institutions

Publications per year

2017–2026

20

Authors

152

  1. DJ
    Darren J. Wilkinson

    Newcastle University, United Kingdom

    3 publications · 98 citations

    3

    h-index

  2. CP
    Corrado Priami

    University of Trento, Italy

    2 publications · 113 citations

    2

    h-index

  3. BM
    Bjoern Menze

    Technical University of Munich, Germany

    2 publications · 119 citations

    2

    h-index

  4. CS
    Colin S. Gillespie

    Newcastle University, United Kingdom

    2 publications · 65 citations

    2

    h-index

  5. KS
    Kandler Smith

    Idaho National Laboratory, United States

    2 publications · 47 citations

    2

    h-index

1–5 of 152

Venues

  1. IEEE Transactions on Medical Imaging

    3 publications · 172 citations

    3

    h-index

  2. PLoS Computational Biology

    2 publications · 49 citations

    2

    h-index

  3. Journal of Energy Storage

    2 publications · 47 citations

    2

    h-index

  4. Bioinformatics

    2 publications · 27 citations

    2

    h-index

  5. Physical review. E

    PRE · 2 publications · 34 citations

    2

    h-index

1–5