Integrative prognostic subtype discovery in high‐grade serous ovarian cancer
Volume: 120, Issue: 11, Pages: 18659 - 18666
Published: Jul 26, 2019
Abstract
We sought to identify novel molecular subtypes of high-grade serous ovarian cancer (HGSC) by the integration of gene expression and proteomics data and to find the underlying biological characteristics of ovarian cancer to improve the clinical outcome.The iCluster method was utilized to analysis 131 common HGSC samples between TCGA and Clinical Proteomic Tumor Analysis Consortium databases. Kaplan-Meier survival curves were used to estimate the...
Paper Details
Title
Integrative prognostic subtype discovery in high‐grade serous ovarian cancer
Published Date
Jul 26, 2019
Volume
120
Issue
11
Pages
18659 - 18666
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History