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

Erdogdu U., POLAT F., Alhajj R.

ARTIFICIAL INTELLIGENCE IN MEDICINE, vol.83, pp.14-34, 2017 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 83
  • Publication Date: 2017
  • Doi Number: 10.1016/j.artmed.2017.06.007
  • Journal Name: ARTIFICIAL INTELLIGENCE IN MEDICINE
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.14-34
  • Keywords: Gene regulatory networks, Partially Observable Markov Decision, Processes, Control of gene regulatory networks, VALUE-ITERATION, EXPRESSION, INTERVENTION, MODELS, NOISE
  • Middle East Technical University Affiliated: Yes

Abstract

Objective: Formulate the induction and control of gene regulatory networks (GRNs) from gene expression data using Partially Observable Markov Decision Processes (POMDPs).