Identification of hub genes in thyroid carcinoma to predict prognosis by integrated bioinformatics analysis
The aim of this study was to identify hub genes closely related to the pathogenesis and prognosis of thyroid carcinoma (THCA) by integrated bioinformatics analysis. In this study, through differential gene expression analysis, 1916 and 665 differentially expressed genes (DEGs) were obtained from The...
Main Authors: | Yangwang Pan, Linjing Wu, Shuai He, Jun Wu, Tong Wang, Hongrui Zang |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2021-01-01
|
Series: | Bioengineered |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/21655979.2021.1940615 |
Similar Items
-
Identification and Validation of a Novel Prognosis Prediction Model in Adrenocortical Carcinoma by Integrative Bioinformatics Analysis, Statistics, and Machine Learning
by: Xin Yan, et al.
Published: (2021-06-01) -
Identification of the Hub Genes Associated with the Prognosis of Ovarian Cancer Patients via Integrated Bioinformatics Analysis and Experimental Validation
by: Zhao Y, et al.
Published: (2021-01-01) -
Identifying hub genes of papillary thyroid carcinoma in the TCGA and GEO database using bioinformatics analysis
by: Ying Wan, et al.
Published: (2020-07-01) -
Identification of Hub Genes as Potential Prognostic Biomarkers in Cervical Cancer Using Comprehensive Bioinformatics Analysis and Validation Studies
by: Xue H, et al.
Published: (2021-01-01) -
Identification of a Six Gene Prognosis Signature for Papillary Thyroid Cancer Using Multi-Omics Methods and Bioinformatics Analysis
by: He Ren, et al.
Published: (2021-03-01)