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Identification biomarkers of eutopic endometrium in endometriosis using artificial neural networks and protein
Liang Wang1, Wei Zheng, Xiao-yan Ding
1The 2nd Affiliated Hospital, Department of Gynecology, and Ministry of Education Key Laboratory of Cancer Prevention and Intervention, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
Fertility and Sterility
|January 5, 2010
Abstract:
Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS) protein chip array technology was used to detect biomarkers of eutopic endometrium in endometriosis patients. Five potential biomarkers (6,898 m/z, 5,891 m/z, 5,385 m/z, 6,448 m/z, and 5,425 m/z) were found.
