Multi-omic Analysis of Uterine Leiomyomas in Self-Described Black and White Women: Molecular Insights into Health Disparities

Name: Multi-omic Analysis of Uterine Leiomyomas in Self-Described Black and White Women: Molecular Insights into Health Disparities
Creator: Nicholas Bateman
Published: 2026-07-17T14:32:21.280Z
Keywords: Proteomics, Transcriptome

Bateman, Nicholas

doi:10.17632/j9384ncmks.1

Multi-omic Analysis of Uterine Leiomyomas in Self-Described Black and White Women: Molecular Insights into Health Disparities

Published: 17 July 2026| Version 1 | DOI: 10.17632/j9384ncmks.1

Contributor:

Nicholas Bateman

Description

Data includes global proteome and transcriptome matrixes described in Bateman NW et al, "Multi-omic Analysis of Uterine Leiomyomas in Self-Described Black and White Women: Molecular Insights into Health Disparities".

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Uniformed Services University of the Health Sciences
MD, Bethesda

Multi-omic Analysis of Uterine Leiomyomas in Self-Described Black and White Women: Molecular Insights into Health Disparities

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