Identification and Verification of Biomarker in Clear Cell Renal Cell Carcinoma via Bioinformatics and Neural Network Model
Background. Clear cell renal cell carcinoma (ccRCC) is the most common subtype of kidney cancer, which represents the 9th most frequently diagnosed cancer. However, the molecular mechanism of occurrence and development of ccRCC is indistinct. Therefore, the research aims to identify the hub biomarke...
Main Authors: | Bin Liu, Yu Xiao, Hao Li, Ai-li Zhang, Ling-bing Meng, Lu Feng, Zhi-hong Zhao, Xiao-chen Ni, Bo Fan, Xiao-yu Zhang, Shi-bin Zhao, Yi-bo Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2020-01-01
|
Series: | BioMed Research International |
Online Access: | http://dx.doi.org/10.1155/2020/6954793 |
Similar Items
-
Bioinformatics Analysis of the Prognostic and Biological Significance of ZDHHC-Protein Acyltransferases in Kidney Renal Clear Cell Carcinoma
by: Zhuang Liu, et al.
Published: (2020-12-01) -
Potential prognostic biomarkers related to immunity in clear cell renal cell carcinoma using bioinformatic strategy
by: Zhenfei Xiang, et al.
Published: (2021-01-01) -
LRRK2 is a candidate prognostic biomarker for clear cell renal cell carcinoma
by: Chunxiu Yang, et al.
Published: (2021-07-01) -
AURKB: a promising biomarker in clear cell renal cell carcinoma
by: Bangbei Wan, et al.
Published: (2019-09-01) -
Identification of CXCL13 as a potential biomarker in clear cell renal cell carcinoma via comprehensive bioinformatics analysis
by: Tianbo Xu, et al.
Published: (2019-10-01)