CBFLivUni/AdenomyosisGeoMX: Publication

Johnson, Emily Jane
2025 · doi:10.5281/zenodo.15642732 · W6949811365
other OA: green CC0
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Abstract

Code used to perform the analysis and generate figures for the associated publication - Spatially-resolved transcriptomics uncovers the hybrid molecular identify, ciliated phenotype, and immune signature of adenomyosis lesions".
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Published June 11, 2025 | Version v1 Software CBFLivUni/AdenomyosisGeoMX: Publication Authors/Creators - 1. Computational Biology Facility, Liverpool Shared Research Facilities, University of Liverpool, Liverpool L69 7ZB, United Kingdom Description Code and data used to perform the analysis and generate figures for the associated publication - Spatially-resolved transcriptomics uncovers the hybrid molecular identify, ciliated phenotype, and immune signature of adenomyosis lesions". Additional details Software - Repository URL - https://github.com/CBFLivUni/AdenomyosisGeoMX

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adenomyosis

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last seen: 2026-05-10T10:34:34.680553+00:00
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