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

2017-11-01
Erdogdu, Utku
Polat, Faruk
Alhajj, Reda
Objective: Formulate the induction and control of gene regulatory networks (GRNs) from gene expression data using Partially Observable Markov Decision Processes (POMDPs).
ARTIFICIAL INTELLIGENCE IN MEDICINE

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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.