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

Internet

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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