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

Erdogdu U., POLAT F., Alhajj R.

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

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 83
  • Basım Tarihi: 2017
  • Doi Numarası: 10.1016/j.artmed.2017.06.007
  • Dergi Adı: ARTIFICIAL INTELLIGENCE IN MEDICINE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.14-34
  • Anahtar Kelimeler: Gene regulatory networks, Partially Observable Markov Decision, Processes, Control of gene regulatory networks, VALUE-ITERATION, EXPRESSION, INTERVENTION, MODELS, NOISE
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

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