Gene co-expression network analysis revealed novel biomarkers for ovarian cancer
Ovarian cancer is the second most common gynecologic cancer and remains the leading cause of death of all gynecologic oncologic disease. Therefore, understanding the molecular mechanisms underlying the disease, and the identification of effective and predictive biomarkers are invaluable for the deve...
Main Author: | Ceyda Kasavi |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-10-01
|
Series: | Frontiers in Genetics |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2022.971845/full |
Similar Items
-
Screening differentially expressed genes between endometriosis and ovarian cancer to find new biomarkers for endometriosis
by: Zhenzhen Lu, et al.
Published: (2021-01-01) -
Identification of New Molecular Biomarkers in Ovarian Cancer Using the Gene Expression Profile
by: Piotr Józef Olbromski, et al.
Published: (2022-07-01) -
Time Series Ovarian Transcriptome Analyses of the Porcine Estrous Cycle Reveals Gene Expression Changes during Steroid Metabolism and Corpus Luteum Development
by: Yejee Park, et al.
Published: (2022-02-01) -
A transcriptional co-expression network-based approach to identify prognostic biomarkers in gastric carcinoma
by: Danqi Liu, et al.
Published: (2020-02-01) -
Transcriptome Analysis of Ovarian Follicles Reveals Potential Pivotal Genes Associated With Increased and Decreased Rates of Chicken Egg Production
by: Xiaoxia Chen, et al.
Published: (2021-03-01)