BioSB 2022

Single cell methods & applications

Chair: Stefan Semrau, Leiden University

14:00-14:20	Gerard Bouland, Delft University of Technology The rise of sparser single-cell RNAseq datasets: consequences and opportunities
14:23-14:43	Maryna Korshevniuk, UMCG Optimizing summary statistic integration for single-cell analyses
14:46-15:06	Martijn Cordes, LUMC Single-cell analysis reveals novel thymus-seeding populations with different developmental trajectories
15:10-15:30	Stefan Semrau, Leiden University Phiclust: a clusterability measure for single-cell transcriptomics reveals phenotypic subpopulations.