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2020 – today
- 2023
[j12]Francesco Monti, David Stewart, Anuradha Surendra, Irina Alecu, Thao Nguyen-Tran
, Steffany A. L. Bennett, Miroslava Cuperlovic-Culf:
Signed Distance Correlation (SiDCo): an online implementation of distance correlation and partial distance correlation for data-driven network analysis. Bioinform. 39(5) (2023)- [j11]Cameron Andress, Kalli Kappel, Marcus Elbert Villena, Miroslava Cuperlovic-Culf, Hongbin Yan, Yifeng Li:
DAPTEV: Deep aptamer evolutionary modelling for COVID-19 drug design. PLoS Comput. Biol. 19(7) (2023) - 2022
- [j10]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, Miroslava Cuperlovic-Culf, Steffany A. L. Bennett, Theodore J. Perkins:
BATL: Bayesian annotations for targeted lipidomics. Bioinform. 38(6): 1593-1599 (2022) - [j9]Emily Hashimoto-Roth, Anuradha Surendra, Mathieu Lavallée-Adam, Steffany A. L. Bennett, Miroslava Cuperlovic-Culf:
METAbolomics data Balancing with Over-sampling Algorithms (META-BOA): an online resource for addressing class imbalance. Bioinform. 38(23): 5326-5327 (2022) - [i1]Siba Moussa, Michael Kilgour, Clara Jans, Alex Hernández-García, Miroslava Cuperlovic-Culf, Yoshua Bengio, Lena Simine:
Diversifying Design of Nucleic Acid Aptamers Using Unsupervised Machine Learning. CoRR abs/2208.05341 (2022) - 2021
- [j8]Chengyuan Sha, Miroslava Cuperlovic-Culf, Ting Hu:
SMILE: systems metabolomics using interpretable learning and evolution. BMC Bioinform. 22(1): 284 (2021) - [c1]Hilda Azimi, Pengcheng Xi, Miroslava Cuperlovic-Culf, Martha Marie Vaughan:
Perithecia Detection from Images of Stubble using Deep Learning Models. SSCI 2021: 1-7
2010 – 2019
- 2019
- [j7]Nabil Belacel, Miroslava Cuperlovic-Culf:
PROAFTN Classifier for Feature Selection with Application to Alzheimer Metabolomics Data Analysis. Int. J. Pattern Recognit. Artif. Intell. 33(11): 1940013:1-1940013:16 (2019) - 2017
- [j6]Anuradha Surendra, Miroslava Cuperlovic-Culf:
Database of resistance related metabolites in Wheat Fusarium head blight Disease (MWFD). Database J. Biol. Databases Curation 2017: bax076 (2017) - 2013
- [j5]Patrick-Denis St-Coeur, Mohamed Touaibia, Miroslava Cuperlovic-Culf, Pier Jr Morin:
Leveraging Metabolomics to Assess the Next Generation of Temozolomide-based Therapeutic Approaches for Glioblastomas. Genom. Proteom. Bioinform. 11(4): 199-206 (2013) - 2011
- [j4]Dan C. Tulpan, Serge Léger, Luc Belliveau, Adrian Culf, Miroslava Cuperlovic-Culf:
MetaboHunter: an automatic approach for identification of metabolites from 1H-NMR spectra of complex mixtures. BMC Bioinform. 12: 400 (2011) - 2010
- [j3]Miroslava Cuperlovic-Culf:
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. J. Bioinform. Comput. Biol. 8(4): 703-715 (2010)
2000 – 2009
- 2004
- [j2]Nabil Belacel, Miroslava Cuperlovic-Culf, Mark Laflamme, Rodney Ouellette:
Fuzzy J-Means and VNS methods for clustering genes from microarray data. Bioinform. 20(11): 1690-1701 (2004) - 2003
- [j1]Miroslava Cuperlovic-Culf, Gilles A. Robichaud, Michel Nardini, Rodney Ouellette:
Investigation of interaction between Pax5 isoforms and thioredoxin using de novo modelling methods. Silico Biol. 3(4): 453-469 (2003)
Coauthor Index
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