Identification and Validation of the Diagnostic Characteristic Genes of Ovarian Cancer by Bioinformatics and Machine Learning

Background: Ovarian cancer (OC) has a high mortality rate and poses a severe threat to women’s health. However, abnormal gene expression underlying the tumorigenesis of OC has not been fully understood. This study aims to identify diagnostic characteristic genes involved in OC by bioinformatics and...

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Detalles Bibliográficos
Autores principales: Liu, Jinya, Liu, Leping, Antwi, Paul Akwasi, Luo, Yanwei, Liang, Fang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9198487/
https://www.ncbi.nlm.nih.gov/pubmed/35719392
http://dx.doi.org/10.3389/fgene.2022.858466

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9198487/
https://www.ncbi.nlm.nih.gov/pubmed/35719392
http://dx.doi.org/10.3389/fgene.2022.858466

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