Thursday, October 10 2024, 4 - 5pm 204 Caldwell Hall Assistant Professor College of Computing Georgia Institute of Technology Speakers Website Studying single cells through multi-condition and spatial context Abstract: With the advances in single cell technologies, cells are profiled through multiple modalities, and data on samples from an increasing number of individuals are obtained. I will present our method, scDisInFact, that disentangles variation in multi-batch multi-condition scRNA-seq datasets, and predicts data under unseen conditions. I will also present a few methods developed in our group on spatial transcriptomics (ST) data, including SpaDecoder, that performs cell type deconvolution for spot-based ST data, and stPularity, that performs clustering of spot-based ST data. Finally, I will present scMultiSim, that can be used to evaluate methods for multi-omics and spatial data. About the Speaker: