Identification and verification of pivotal genes promoting the progression of atherosclerosis based on WGCNA
AbstractAs the main pathological basis for the development of cardiovascular and cerebrovascular diseases, atherosclerosis (AS) seriously affects human health. The key targets of biological information analysis of AS can help exploit therapeutic targets. The expression data of early and progressive...
Main Authors: | Jing Wen, Tong Ren, Jinzhen Zheng, Xing Jiang, Yingxia Li, Xilin Jiang, Xin Jin, Hongying Zhao, Jingwen Li |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2023-12-01
|
Series: | Artificial Cells, Nanomedicine, and Biotechnology |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/21691401.2023.2203185 |
Similar Items
-
K-Module Algorithm: An Additional Step to Improve the Clustering Results of WGCNA Co-Expression Networks
by: Jie Hou, et al.
Published: (2021-01-01) -
Identification of immune-related biomarkers and construction of regulatory network in patients with atherosclerosis
by: Ruoyu Dong, et al.
Published: (2022-11-01) -
The Transcriptomic Toolbox: Resources for Interpreting Large Gene Expression Data within a Precision Medicine Context for Metabolic Disease Atherosclerosis
by: Caralina Marín de Evsikova, et al.
Published: (2019-04-01) -
Repurposing Approved Drugs for Sarcopenia Based on Transcriptomics Data in Humans
by: Shuang Liang, et al.
Published: (2023-04-01) -
Constructing a seventeen-gene signature model for non-obstructive azoospermia based on integrated transcriptome analyses and WGCNA
by: Yinwei Chen, et al.
Published: (2023-03-01)