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A control model for Markovian genetic regulatory networks
Michael K. Ng
*
, Shu Qin Zhang
, Wai Ki Ching
, Tatsuya Akutsu
*
Corresponding author for this work
Department of Mathematics
Research output
:
Chapter in book/report/conference proceeding
›
Conference proceeding
›
peer-review
29
Citations (Scopus)
Overview
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Dive into the research topics of 'A control model for Markovian genetic regulatory networks'. Together they form a unique fingerprint.
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Mathematics
Genetic Regulatory Network
100%
Stochastic Dynamic Program
100%
Target State
100%
Time Step
50%
Probability Theory
50%
Minimization Problem
50%
Computational Cost
50%
Approximates
50%
Control Problems
50%
Integer
50%
Probability Distribution
50%
Continuous Variable
50%
State Probability
50%
Periodic Time
50%
Finite Number
50%
Keyphrases
Genetic Regulatory Networks
100%
Genetic Network
100%
Markovian
100%
Control Model
100%
Specific Genes
66%
Stochastic Dynamic Programming Model
66%
Minimization Problem
33%
Computational Cost
33%
Gene number
33%
Control Problem
33%
Probability Distribution
33%
Proposed Formulation
33%
State Probability
33%
Control Genes
33%
Finite number
33%
Integer Variables
33%
Cost Control
33%
Engineering
Control Model
100%
Target State
100%
Stochastic Dynamic
100%
Dynamic Programming
100%
Programming Model
100%
Experimental Result
50%
Minimization Problem
50%
Computational Cost
50%
Periodic Time
50%
Continuous Variable
50%
Finite Number
50%
Computer Science
Programming Model
100%
Stochastic Dynamic Program
100%
Experimental Result
50%
Minimization Problem
50%
Computational Cost
50%
Continuous Variable
50%
State Probability
50%
Biochemistry, Genetics and Molecular Biology
Genetics
100%
Regulatory Network
100%
Dynamics
20%
Gene Control
20%
Probability Distribution
20%
Step Time
20%