Employing decomposable partially observable Markov decision processes to control gene regulatory networks

2017-11-01
Erdogdu, Utku
Polat, Faruk
Alhajj, Reda
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Objective: Formulate the induction and control of gene regulatory networks (GRNs) from gene expression data using Partially Observable Markov Decision Processes (POMDPs).
Gene regulatory networks, Control of gene regulatory networks, Processes, Partially Observable Markov Decision
https://hdl.handle.net/11511/44975
ARTIFICIAL INTELLIGENCE IN MEDICINE
Department of Computer Engineering, Article

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Citation Formats
U. Erdogdu, F. Polat, and R. Alhajj, “Employing decomposable partially observable Markov decision processes to control gene regulatory networks,” ARTIFICIAL INTELLIGENCE IN MEDICINE, pp. 14–34, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/44975.
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