Investigation of interaction between Pax5 isoforms and thioredoxin using de novo modelling methods. - Miroslava Cuperlovic-Culf; Gilles A. Robichaud; Michel Nardini; Rodney Ouellette (Silico Biol., 2003)

Fuzzy J-Means and VNS methods for clustering genes from microarray data. - Nabil Belacel; Miroslava Cuperlovic-Culf; Mark Laflamme; Rodney Ouellette (Bioinform., 2004)

The Importance of inhibitors for the Simulation of metabolic Processes: in silico Zn2+ Inhibition of M-Aconitase from Analysis of glycolysis and Krebs Cycle Kinetic Models. - Miroslava Cuperlovic-Culf (J. Bioinform. Comput. Biol., 2010)

MetaboHunter: an automatic approach for identification of metabolites from 1H-NMR spectra of complex mixtures. - Dan C. Tulpan; Serge Léger; Luc Belliveau; Adrian Culf; Miroslava Cuperlovic-Culf (BMC Bioinform., 2011)

Leveraging Metabolomics to Assess the Next Generation of Temozolomide-based Therapeutic Approaches for Glioblastomas. - Patrick-Denis St-Coeur; Mohamed Touaibia; Miroslava Cuperlovic-Culf; Pier Jr Morin (Genom. Proteom. Bioinform., 2013)

Database of resistance related metabolites in Wheat Fusarium head blight Disease (MWFD). - Anuradha Surendra; Miroslava Cuperlovic-Culf (Database J. Biol. Databases Curation, 2017)

PROAFTN Classifier for Feature Selection with Application to Alzheimer Metabolomics Data Analysis. - Nabil Belacel; Miroslava Cuperlovic-Culf (Int. J. Pattern Recognit. Artif. Intell., 2019)

Perithecia Detection from Images of Stubble using Deep Learning Models. - Hilda Azimi; Pengcheng Xi; Miroslava Cuperlovic-Culf; Martha Marie Vaughan (SSCI, 2021)

SMILE: systems metabolomics using interpretable learning and evolution. - Chengyuan Sha; Miroslava Cuperlovic-Culf; Ting Hu (BMC Bioinform., 2021)

BATL: Bayesian annotations for targeted lipidomics. - Justin G. Chitpin; Anuradha Surendra; Thao T. Nguyen; Graeme Taylor; Hongbin Xu; Irina Alecu; Roberto Ortega; Julianna J. Tomlinson; Angela M. Crawley; Michaeline McGuinty; Michael G. Schlossmacher; Rachel Saunders-Pullman; et al. (Bioinform., 2022)

Diversifying Design of Nucleic Acid Aptamers Using Unsupervised Machine Learning. - Siba Moussa; Michael Kilgour; Clara Jans; Alex Hernández-García; Miroslava Cuperlovic-Culf; Yoshua Bengio; Lena Simine (CoRR, 2022)

METAbolomics data Balancing with Over-sampling Algorithms (META-BOA): an online resource for addressing class imbalance. - Emily Hashimoto-Roth; Anuradha Surendra; Mathieu Lavallée-Adam; Steffany A. L. Bennett; Miroslava Cuperlovic-Culf (Bioinform., 2022)

DAPTEV: Deep aptamer evolutionary modelling for COVID-19 drug design. - Cameron Andress; Kalli Kappel; Marcus Elbert Villena; Miroslava Cuperlovic-Culf; Hongbin Yan; Yifeng Li (PLoS Comput. Biol., 2023)

Signed Distance Correlation (SiDCo): an online implementation of distance correlation and partial distance correlation for data-driven network analysis. - Francesco Monti; David Stewart; Anuradha Surendra; Irina Alecu; Thao Nguyen-Tran; Steffany A. L. Bennett; Miroslava Cuperlovic-Culf (Bioinform., 2023)

A hybrid machine learning framework for functional annotation of mitochondrial glutathione transport and metabolism proteins in cancers. - Luke Kennedy; Jagdeep K. Sandhu; Mary-Ellen Harper; Miroslava Cuperlovic-Culf (BMC Bioinform., 2025)