AI4SYN
Artificial intelligence for synthetic funtional genomics of blood
Principal Investigator/s
Field / Programme
Computational Biology and Health Genomics
Computational Biology and Health Genomics
Summary
Cells can switch genes on and off in response to a changing environment. This is possible thanks to a complex group of regulators, known as gene regulatory networks (GRNs). Gene regulatory elements (GREs), such as promoters and enhancers, are key components of these networks and determine which genes are expressed at a given time. Funded by the European Research Council, the AI4SYN project will use haematopoietic stem cell differentiation as a paradigm to construct predictive models of GRNs and GREs. Researchers will combine deep learning with genetic screens at the single-cell level to predict the outcome of potential network perturbations.
Cells can switch genes on and off in response to a changing environment. This is possible thanks to a complex group of regulators, known as gene regulatory networks (GRNs). Gene regulatory elements (GREs), such as promoters and enhancers, are key components of these networks and determine which genes are expressed at a given time. Funded by the European Research Council, the AI4SYN project will use haematopoietic stem cell differentiation as a paradigm to construct predictive models of GRNs and GREs. Researchers will combine deep learning with genetic screens at the single-cell level to predict the outcome of potential network perturbations.
Start: 01/09/2022 End: 31/08/2027
Total Budget: 1.499.653
CRG Budget: 1.499.653
Funded by:
