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.
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1.4K
Citations
152
Authors
86
Institutions
Publications per year
2017–2026
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A new probabilistic generative model of parameter inference in biochemical networks
Paola Lecca, Alida Palmisano, Corrado Priami et al. · 2009 · 102 citations
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Newcastle University
Newcastle upon Tyne, United Kingdom
3 h-index
8 publications
261 citations
University of Sheffield
Sheffield, United Kingdom
2 h-index
2 publications
174 citations

Northern Arizona University
Flagstaff, United States
2 h-index
2 publications
47 citations
Aalto University
Espoo, Finland
2 h-index
3 publications
230 citations
University of Colorado Boulder
Boulder, United States
2 h-index
2 publications
47 citations

University of Edinburgh
Edinburgh, United Kingdom
2 h-index
6 publications
576 citations
The Microsoft Research - University of Trento Centre for Computational and Systems Biology
Trento, Italy
2 h-index
8 publications
361 citations

Idaho National Laboratory
Idaho Falls, United States
2 h-index
2 publications
47 citations
1–8 of 86
3 publications · 172 citations
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2 publications · 49 citations
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2 publications · 47 citations
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2 publications · 27 citations
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PRE · 2 publications · 34 citations
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