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In our study, we explored four Gene Expression Omnibus (GEO) DNA microarray datasets containing eutopic endometrium of people with and without endometriosis. After batch correction, menstrual cycle phase accounted for 53% of variance and disease accounted for 23%; thus, the data were separated by menstrual cycle phase before performing differential expression analysis, statistical and machine learning modeling, and enrichment analysis. We established that matrisome gene expression alone can effectively differentiate endometriosis samples from healthy ones, demonstrating the potential of matrisome gene expression for diagnostic applications. Furthermore, we identified specific matrisome genes and gene networks whose expression can distinguish endometriosis stages I\/II from III\/IV. Taken together, these findings may aid in developing future\n                    <jats:italic>in vitro<\/jats:italic>\n                    models of disease, offer insights into novel treatment strategies, and advance diagnostic tools for this underserved patient population.\n                  <\/jats:p>","DOI":"10.1007\/s43032-023-01359-w","type":"journal-article","created":{"date-parts":[[2023,10,3]],"date-time":"2023-10-03T13:01:31Z","timestamp":1696338091000},"page":"413-429","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Characterizing the Extracellular Matrix Transcriptome of Endometriosis"],"prefix":"10.1007","volume":"31","author":[{"given":"Carson J.","family":"Cook","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Noah","family":"Wiggin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3572-778X","authenticated-orcid":false,"given":"Kaitlin C.","family":"Fogg","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,10,3]]},"reference":[{"issue":"1","key":"1359_CR1","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1007\/s13669-017-0187-1","volume":"6","author":"P Parasar","year":"2017","unstructured":"Parasar P, Ozcan P, Terry KL. 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