Amanote Research
Register
Sign In
Gene Co-Expression Network Analysis Reveals Common System-Level Properties of Prognostic Genes Across Cancer Types
Nature Communications
- United Kingdom
doi 10.1038/ncomms4231
Full Text
Open PDF
Abstract
Available in
full text
Categories
Astronomy
Genetics
Molecular Biology
Biochemistry
Chemistry
Physics
Date
February 3, 2014
Authors
Yang Yang
Leng Han
Yuan Yuan
Jun Li
Nainan Hei
Han Liang
Publisher
Springer Science and Business Media LLC
Related search
Prognostic Genes of Triple‑negative Breast Cancer Identified by Weighted Gene Co‑expression Network Analysis
Oncology Letters
Cancer Research
Oncology
Identification of Prognostic Genes in Leiomyosarcoma by Gene Co-Expression Network Analysis
Frontiers in Genetics
Genetics
Molecular Medicine
Weighted Gene Co‐expression Network Analysis Reveals Hub Genes Involved in Cholangiocarcinoma Progression and Prognosis
Hepatology Research
Hepatology
Infectious Diseases
Weighted Gene Co-Expression Network Analysis Identified Cancer Cell Proliferation as a Common Phenomenon During Perineural Invasion
OncoTargets and Therapy
Oncology
Pharmacology
Gene Co-Expression Network Analysis Identifies Porcine Genes Associated With Variation in Salmonella Shedding
BMC Genomics
Biotechnology
Genetics
Comprehensive Analysis of lncRNAs Reveals Candidate Prognostic Biomarkers in Multiple Cancer Types
Figure 2: Weighted Gene Co-Expression Network Analysis.
Effects ofTP53mutational Status on Gene Expression Patterns Across 10 Human Cancer Types
Journal of Pathology
Forensic Medicine
Pathology
Integrated Analysis of Co‐expression and ceRNA Network Identifies Five lncRNAs as Prognostic Markers for Breast Cancer
Journal of Cellular and Molecular Medicine
Molecular Medicine
Cell Biology