Multi-omics profiling in time and space

MOPITAS

With this transformative project, we seek to bridge the gap between Spatial Transcriptomics (ST) and scRNA-seq, utilizing novel and innovative algorithms based on a complex interplay of deep neural networks by identifying the spatial relationship of the sequenced cells based on a ST map. This will allow us to faithfully lay out single cell profiles in space.

Meet the team