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Employing decomposable partially observable Markov decision processes to control gene regulatory networks
Date
2017-11-01
Author
Erdogdu, Utku
Polat, Faruk
Alhajj, Reda
Metadata
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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).
Subject Keywords
Gene regulatory networks
,
Control of gene regulatory networks
,
Processes
,
Partially Observable Markov Decision
URI
https://hdl.handle.net/11511/44975
Journal
ARTIFICIAL INTELLIGENCE IN MEDICINE
DOI
https://doi.org/10.1016/j.artmed.2017.06.007
Collections
Department of Computer Engineering, Article
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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.