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A new spatial multi-omics approach to deeply characterize human cancer tissue using a single tissue section

2024-10-04

Abstract excerpt

In the ever-changing world of digital pathology, being able to extract a maximum amount of information from a patient tissue sample is of paramount importance for better diagnosis, disease characterization, and therapeutic strategies. Recent technologies such as multiplex immunofluorescence imaging and spatial transcriptomic now enable a deep analysis of protein and gene expression while retaining the spatial cont...

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Literature Corpus work
004f3098-6046-5c33-8543-c8f3b1c25f63
DOI
10.1101/2024.10.03.616510
Open publication

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A new spatial multi-omics approach to deeply characterize human cancer tissue using a single tissue sectionDOI 10.1101/2024.10.03.616510
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