Cross-cohort integration identifies a heterogeneous endometriosis-associated transcriptome: locked analysis code and result tables

Omnia A. M. Badr, Nesrine Ebrahim, Mahmoud M. A. Moustafa
2026 · doi:10.5281/zenodo.23083413 · W7215058882
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This paper accompanies a manuscript in Genome Medicine by providing locked analysis code, result tables, and versioned scripts for a cross-cohort integration study identifying a heterogeneous endometriosis-associated transcriptome.

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This publication serves as a data and software repository accompanying a manuscript submitted to Genome Medicine, providing locked analysis code, result tables, and dataset manifests for a cross-cohort integration study. The materials document the transcriptomic heterogeneity associated with endometriosis through versioned scripts and frozen contrast definitions. The release includes time-stamped charters and amendments to ensure reproducibility of the genomic findings. This paper is centrally about endometriosis — specifically characterizing its heterogeneous transcriptome across multiple cohorts.

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Abstract

Time-stamped analysis charter, dated amendments, versioned analysis scripts, dataset manifest, frozen contrast definitions, software lockfile, locked result tables and figure-generation code accompanying the manuscript submitted to Genome Medicine.
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Published October 1, 2026 | Version v1.0 Software Open Cross-cohort integration identifies a heterogeneous endometriosis-associated transcriptome: locked analysis code and result tables Description Time-stamped analysis charter, dated amendments, versioned analysis scripts, dataset manifest, frozen contrast definitions, software lockfile, locked result tables and figure-generation code accompanying the manuscript submitted to Genome Medicine. Files omygene/endometriosis-cross-cohort-transcriptomics-v1.0.zip Additional details Related works - Is supplement to - Software: https://github.com/omygene/endometriosis-cross-cohort-transcriptomics/tree/v1.0 (URL)

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last seen: 2026-10-09T06:00:51.939507+00:00
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