Continuous state/action reinforcement learning: A growing self-organizing map approach. - Hesam Montazeri; Sajjad Moradi; Reza Safabakhsh (Neurocomputing, 2011)

The Individualized Genetic Barrier Predicts Treatment Response in a Large Cohort of HIV-1 Infected Patients. - Niko Beerenwinkel; Hesam Montazeri; Heike Schuhmacher; Patrick Knupfer; Viktor von Wyl; Hansjakob Furrer; Manuel Battegay; Bernard Hirschel; Matthias Cavassini; Pietro Vernazza; Enos Bernasconi; Sabine Yerly; et al. (PLoS Comput. Biol., 2013)

Estimating HIV-1 Fitness Characteristics from Cross-Sectional Genotype Data. - Sathej Gopalakrishnan; Hesam Montazeri; Stephan Menz; Niko Beerenwinkel; Wilhelm Huisinga (PLoS Comput. Biol., 2014)

Large-scale inference of conjunctive Bayesian networks. - Hesam Montazeri; Jack Kuipers; Roger D. Kouyos; Jürg Böni; Sabine Yerly; Thomas Klimkait; Vincent Aubert; Huldrych F. Günthard; Niko Beerenwinkel; The Swiss Hiv Cohort Study (Bioinform., 2016)

Network-based integration of multi-omics data for prioritizing cancer genes. - Christos Dimitrakopoulos; Sravanth Kumar Hindupur; Luca Häfliger; Jonas Behr; Hesam Montazeri; Michael N. Hall; Niko Beerenwinkel (Bioinform., 2018)

Comparing mutational pathways to lopinavir resistance in HIV-1 subtypes B versus C. - Susana Posada-Céspedes; Gert van Zyl; Hesam Montazeri; Jack Kuipers; Soo-Yon Rhee; Roger D. Kouyos; Huldrych F. Günthard; Niko Beerenwinkel (PLoS Comput. Biol., 2021)