Identification of key genes associated with the effect of estrogen on ovarian cancer using microarray analysis

Purpose To identify key genes related to the effect of estrogen on ovarian cancer. Methods Microarray data (GSE22600) were downloaded from Gene Expression Omnibus. Eight estrogen and seven placebo treatment samples were obtained using a 2 × 2 factorial designs, which contained 2 cell lines (PEO4 and...

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Veröffentlicht in:	Archives of gynecology and obstetrics 2016-02, Vol.293 (2), p.421-427
Hauptverfasser:	Zhang, Shi-tao, Zuo, Chao, Li, Wan-nan, Fu, Xue-qi, Xing, Shu, Zhang, Xiao-ping
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayes Theorem Computational Biology Endocrinology Estrogens - metabolism Female Gene expression Gene Expression Profiling Gene Expression Regulation, Neoplastic Gene Regulatory Networks Gynecologic Oncology Gynecology Human Genetics Humans Medicine Medicine & Public Health Microarray Analysis - methods Obstetrics/Perinatology/Midwifery Ovarian cancer Ovarian Neoplasms - genetics Ovarian Neoplasms - metabolism Transcription Factors - genetics Transforming Growth Factor beta
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