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Analytical results for a stochastic model of gene expression with arbitrary partitioning of proteins
Hugo Tschirhart,
Thierry Platini
School of Computing, Electronics and Maths
Research output
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Contribution to journal
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Article
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peer-review
1
Citation (Scopus)
10
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Dive into the research topics of 'Analytical results for a stochastic model of gene expression with arbitrary partitioning of proteins'. Together they form a unique fingerprint.
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Mathematics
Gene Expression
92%
Protein
76%
Partitioning
72%
Stochastic Model
69%
Arbitrary
38%
Exact Solution
28%
Two-stage Model
27%
Biophysics
25%
Model
24%
Reduced Model
23%
Degradation
22%
Variance Function
22%
Switch
19%
Correlation Function
19%
Poisson process
18%
Fluctuations
17%
Analytical Solution
16%
Generating Function
15%
Hierarchy
15%
Siméon Denis Poisson
14%
Methodology
13%
Engineering & Materials Science
Gene expression
80%
Stochastic models
80%
Proteins
67%
Biophysics
19%
Switches
8%
Degradation
8%
Physics & Astronomy
gene expression
100%
proteins
58%
poisson process
14%
biophysics
14%
inference
11%
arrivals
10%
hierarchies
10%
switches
8%
methodology
8%
degradation
7%