ERC Starting Grant · 2023
Integration of single-cell multi-omics data across space and time to unlock cellular trajectories
The introduction of high-throughput single-cell sequencing has produced a flood of data at the resolution of the single cell, including spatiotemporal information and different molecular facets of a cell, a.k.a. multi-omics. Their integration through MultiModal Learning (MML), aimed at combining multiple complementary views, offers great promise to understand the spatiotemporal phenotypic evolution of a cell and its molecular regulators. However, integrating multi-omics data across space and time is a huge computational challenge requiring radically new MML approaches. MULTIview-CELL will infer multimodal spatiotemporal phenotypic cell trajectories by combining back-translation, to allow…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.
← All labs at National Centre for Scientific Research (CNRS)