IDENTIFYING ANATOMICAL REGIONS ASSOCIATED WITH ENDOMETRIOSIS PAIN USING NEIGHBOR-JOINING CLUSTERING

Fertility and Sterility, 116(3), e207-e208

DOI 10.1016/j.fertnstert.2021.07.568

Abstract

No abstract available for this article.

Topics

endometriosis pain anatomical region mapping, Kiser Eilbeck neighbor-joining clustering endometriosis, Schliep Peterson endometriosis OPERA study pain mapping, anatomical clustering endometriosis lesion location pain, phylogenetic clustering methods endometriosis research, endometriosis pain phenotype anatomical associations, Yandell computational methods endometriosis localization, fertility and sterility endometriosis pain abstract 2021, machine learning clustering endometriosis pain regions, pelvic pain distribution endometriosis anatomical sites
DOI 10.1016/j.fertnstert.2021.07.568 10.1016/j.fertnstert.2021.07.568

Cite this article

Kiser, A. C., Eilbeck, K., Hernandez, E. J., Schliep, K. C., Peterson, C. M., & Yandell, M. (2021). Identifying anatomical regions associated with endometriosis pain using neighbor-joining clustering. *Fertility and Sterility*, *116*(3), e207-e208. https://doi.org/10.1016/j.fertnstert.2021.07.568

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