Integrative Multivariate Computational Methods for Single-Cell Assays
To develop and implement computational methods as part of our existing R package, mixOmics, to facilitate the exploration and combined analysis of single-cell assays generated across multiple studies and multiple technological platforms.
Results & Resources
During this project, the Le Cao lab in collaboration with Matthew Ritchie generated droplet and plate-based scRNA-seq datasets to benchmark multiple data analysis methods in combination, as described in their preprint. They developed an R package, CellBench, for benchmarking single-cell analysis methods and a mixOmics R package focusing on omics data integration.