{"paper_id":"a5184743-004d-46cd-b349-83ad9539efe9","body_text":"Published April 30, 2026\n| Version v2\nSoftware\nOpen\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\".\nFiles\nAdenomyosisGeoMX-V.2.0.0.zip\nFiles\n(105.6 MB)\n| Name | Size | Download all |\n|---|---|---|\n|\nmd5:9c34a06f85c74b5836d372aeb9b0c485\n|\n105.6 MB | Preview Download |\nAdditional details\nSoftware\n- Repository URL\n- https://github.com/CBFLivUni/AdenomyosisGeoMX\n- Programming language\n- R","source_license":"CC0","license_restricted":false}