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BMC Bioinformatics|April 27, 2013
Ensemble-based prediction of RNA secondary structuresNima Aghaeepour, Holger H HoosCytometry. Part a : the Journal of the International Society for Analytical Cytology|December 25, 2010
Rapid cell population identification in flow cytometry dataNima Aghaeepour, Radina Nikolic, Holger H Hoos, et al.Cytometry. Part a : the Journal of the International Society for Analytical Cytology|October 10, 2012
RchyOptimyx: cellular hierarchy optimization for flow cytometryNima Aghaeepour, Adrin Jalali, Kieran O'Neill, et al.Bioinformatics (Oxford, England)|March 3, 2012
Early immunologic correlates of HIV protection can be identified from computational analysis of complex multivariate T-cell flow cytometry assaysNima Aghaeepour, Pratip K Chattopadhyay, Anuradha Ganesan, et al.Current Topics in Microbiology and Immunology|August 27, 2013
Computational analysis of high-dimensional flow cytometric data for diagnosis and discoveryNima Aghaeepour, Ryan BrinkmanBMC Bioinformatics|April 25, 2007
An adaptive bin framework search method for a beta-sheet protein homopolymer modelAlena Shmygelska, Holger H HoosBMC Bioinformatics|February 16, 2005
An ant colony optimisation algorithm for the 2D and 3D hydrophobic polar protein folding problemAlena Shmygelska, Holger H HoosPediatric Research|July 8, 2022
Multiomics, artificial intelligence, and precision medicine in perinatologyMohan Pammi, Nima Aghaeepour, Josef NeuCurrent Opinion in Clinical Nutrition and Metabolic Care|November 24, 2025
Artificial intelligence-guided nutritional therapy in the ICUDongshen Peng, Thanaphong Phongpreecha, Nima AghaeepourClinics in Perinatology|May 5, 2024
Computational Approaches for Predicting Preterm Birth and Newborn OutcomesDavid Seong, Camilo Espinosa, Nima Aghaeepour, et al.Pageof 23