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T1  - A relational database to identify differentially expressed genes in the endometrium and endometriosis lesions 
SN  -  /  
UR  - http://hdl.handle.net/10138/321238 
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A1  - Gabriel, Michael; Fey, Vidal; Heinosalo, Taija; Adhikari, Prem; Rytkönen, Kalle; Komulainen, Tuomo; Huhtinen, Kaisa; Laajala, Teemu Daniel; Siitari, Harri; Virkki, Arho; Suvitie, Pia; Kujari, Harry; Aittokallio, Tero; Perheentupa, Antti; Poutanen, Matti 
A2  -  
PB  -  
Y1  - 2020 
LA  - eng 
AB  - Endometriosis is a common inflammatory estrogen-dependent gynecological disorder, associated with pelvic pain and reduced fertility in women. Several aspects of this disorder and its cellular and molecular etiology remain unresolved. We have analyzed the global gene expression patterns in the endometrium, peritoneum and in endometriosis lesions of endometriosis patients and in the endometrium and peritoneum of healthy women. In this report, we present the EndometDB, an interactive web-based user... 
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KW  - PACKAGE; CELLS; WOMEN; 1184 Genetics, developmental biology, physiology; 113 Computer and information sciences 
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