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

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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Bibliographic Details
Main Authors: Jinya Liu, Leping Liu, Paul Akwasi Antwi, Yanwei Luo, Fang Liang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Genetics
Subjects:
ovarian cancer
machine learning
immune cell infiltration
LASSO
SVM
diagnosis
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2022.858466/full

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https://www.frontiersin.org/articles/10.3389/fgene.2022.858466/full

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