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information from spatial genomics, proteomic and transcriptomic data and associate the findings to clinical data using machine learning. We have collected a unique set of multi-omics, multi-site spatial data
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, in vivo gene editing tools, organoid cultures combined with single cell transcriptomics and single cell spatial multi-omics methods (metabolomics, transcriptomics and proteomics). The candidates
Searches related to proteomics
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