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Identification of six candidate genes for endometrial carcinoma by bioinformatics analysis

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 applied to...

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Detalles Bibliográficos
Autores principales:	Zhu, Yiming, Shi, Liang, Chen, Ping, Zhang, Yingli, Zhu, Tao
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2020
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7346467/ https://www.ncbi.nlm.nih.gov/pubmed/32641130 http://dx.doi.org/10.1186/s12957-020-01920-w

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