DuempelmannLea/endometriosis_endometrium_scRNA_atlas: Endometriosis-Related Alterations in the Endometrium revealed by Integrated Single-Cell and AI-Powered Approaches
This paper used integrated single-cell and AI approaches to reveal endometriosis-related alterations in the endometrium.
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This repository provides the computational code for a study utilizing integrated single-cell RNA sequencing and artificial intelligence to map endometrial cellular heterogeneity. The research analyzes transcriptomic data to identify specific alterations in the endometrium that are associated with the presence of endometriosis. By comparing healthy and diseased states, the authors highlight distinct cell populations and gene expression patterns linked to the disease pathology. This paper is centrally about endometriosis — specifically examining the molecular alterations within the eutopic endometrium using advanced single-cell and AI-driven analytical approaches.
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- last seen: 2026-05-13T19:42:39.943981+00:00