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Simulations of stochastic biological phenomena
Fernand Hayot
Icahn School of Medicine at Mount Sinai
Research output
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Article
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peer-review
1
Scopus citations
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Keyphrases
Master Equation
100%
Biological Phenomena
100%
Gillespie Algorithm
66%
Statistical Mechanics
33%
Gene Transcription
33%
Cellular Heterogeneity
33%
MATLAB Program
33%
Differential Equations
33%
Low Copy number
33%
Teaching Resources
33%
Core Program
33%
Single-cell Measurements
33%
Lecture Notes
33%
Random number
33%
Statistical Probability
33%
Biological Interest
33%
Probability Theory
33%
Homework Assignments
33%
Student Assignment
33%
Probabilistic Approach
33%
Direct Solution
33%
Transcriptional Model
33%
Chemical Rate Constants
33%
Cell Concept
33%
Biological System Modeling
33%
Stochastic Modeling
33%
Mathematics
Stochastics
100%
Master Equation
100%
Biological Phenomenon
100%
Gillespie Algorithm
66%
Probability Theory
33%
MATLAB
33%
Biological System
33%
Simple Model
33%
Differential Equation
33%
Statistical Mechanics
33%
Time Step
33%
Random Number
33%
Rate Constant
33%
Biochemistry, Genetics and Molecular Biology
Transcription
100%
Solution and Solubility
100%
Genetic Transcription
100%
SEQUEST
100%
Cellular, Subcellular and Molecular Biological Phenomena and Functions
100%
Step Time
100%
Medicine and Dentistry
Genetic Transcription
100%
SEQUEST
100%
Cytometry
100%
Cellular, Subcellular and Molecular Biological Phenomena and Functions
100%
Engineering
Master Equation
100%
Biological System
33%
Simple Model
33%
Copy Number
33%
Random Number
33%
Probabilistic Approach
33%
Direct Application
33%
Chemical Rate
33%
Rate Constant
33%
Physics
Statistical Mechanics
100%
Operators (Mathematics)
100%