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

Date

2017-11-01

Author

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).

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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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.