Lab Research

Our lab looks at data science and bioinformatics tools for genomics. We are primarily interested in applications to agriculture and crop development.

We are interested in collaborative research with breeding researchers. If you have data of interest, including genotypic, phenotypic and environmental data, please contact us.

Multi-environment Genomic Prediction with Deep Learning

We are interested in prediction of important agronomic traits through genomic and environmental data using deep learning.

Recent papers:

• Jubair et al. Gxenet Artificial Intelligence In Agriculture
• Morshedian and Domaratzki LSTM-GNN PLOS Comp Bio
• Jubair and Domaratzki Survey Frontiers in AI

Genomic Prediction

We are interested in developing novel deep learning approaches to genomic prediction in collaborative research.

• Predicting Fusarium Head Blight (with Fernando Lab, Plant Sciences, University of Manitoba) – GPTransformer, the first transformer-based model for genomic prediction of FHB in barley. Frontiers in Plant Science
• Obscured Models (with Duncan Lab, Plant Sciences, University of Manitoba) – Deep learning model using comparative phenotype information. PLOS One

Data Augmentation

Our lab is developing classical and deep learning approaches for data imbalance. This includes approaches for both classification and regression. We are particularly interested in methods for high-dimensional data.

• Matharaarachchi et al. Enhancing SMOTE in the Presence of Anomalous Data MLWA
• Alahyari and Domaratzki GAN Models for Imbalanced Regression ESWA
• Alahyari et al. Mahalanobis-Gaussian Mixture Modeling for Imbalanced Regression Neural Networks

Other Research

Our lab has been involved in collaborative projects in other areas. This includes thoracic surgery (publication), metabolomics (publication), human genomics (publication), and others. We have been happy to participate in these collaborations but generally do not have further projects in these areas.

Prospective Graduate Students

Please note the areas where we are actively working if you are interested in joining our lab.