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MULTIview-CELL aims to integrate multi-omics data through innovative machine learning techniques to understand cellular phenotypic evolution. The project focuses on developing tools for analyzing single-cell data, which will provide insights into biological processes and disease mechanisms.
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 tim…
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
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