CBFLivUni/AdenomyosisGeoMX: Publication

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This code repository contains the analysis scripts and figure generation tools used to spatially resolve transcriptomics of adenomyosis lesions, revealing their hybrid molecular identity, ciliated phenotype, and immune signature.

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This repository provides the computational code and data supporting a study on spatially-resolved transcriptomics of adenomyosis lesions. The associated publication identifies a hybrid molecular identity, ciliated phenotype, and distinct immune signature within these lesions using GeoMX analysis. The work focuses specifically on characterizing the cellular heterogeneity and microenvironment of adenomyotic tissue through advanced spatial profiling techniques. This paper is centrally about adenomyosis — specifically the use of spatial transcriptomics to define its molecular and immune landscape.

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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 April 30, 2026 | Version v2 Software Open 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". Files AdenomyosisGeoMX-V.2.0.0.zip Files (105.6 MB) | Name | Size | Download all | |---|---|---| | md5:9c34a06f85c74b5836d372aeb9b0c485 | 105.6 MB | Preview Download | Additional details Software - Repository URL - https://github.com/CBFLivUni/AdenomyosisGeoMX - Programming language - R

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adenomyosis

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last seen: 2026-05-10T11:01:14.481557+00:00
License: CC0 · commercial use OK