{"paper_id":"6092807e-9069-4ad0-b454-8845f87d4ca8","body_text":"Published June 11, 2025\n| Version v1\nSoftware\nCBFLivUni/AdenomyosisGeoMX: Publication\nAuthors/Creators\n- 1. Computational Biology Facility, Liverpool Shared Research Facilities, University of Liverpool, Liverpool L69 7ZB, United Kingdom\nDescription\nCode 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\".\nAdditional details\nSoftware\n- Repository URL\n- https://github.com/CBFLivUni/AdenomyosisGeoMX","source_license":"CC0","license_restricted":false}