Identification of six candidate genes for endometrial carcinoma by bioinformatics analysis

Identification of six candidate genes for endometrial carcinoma by bioinformatics analysis

Abstract Background Endometrial carcinoma (EC) is the most common gynecological malignant tumors which poses a serious threat to women health. This study aimed to screen the candidate genes differentially expressed in EC by bioinformatics analysis. Methods GEO database and GEO2R online tool were app...

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Bibliographic Details
Main Authors: Yiming Zhu, Liang Shi, Ping Chen, Yingli Zhang, Tao Zhu
Format: Article
Language:English
Published: BMC 2020-07-01
Series:World Journal of Surgical Oncology
Subjects:
Endometrial carcinoma
Bioinformatics analysis
Differentially expressed gene
Pathway
Biomarker
Online Access:http://link.springer.com/article/10.1186/s12957-020-01920-w

Internet

http://link.springer.com/article/10.1186/s12957-020-01920-w

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