Chen S - Search Results

1

Identification of polyunsaturated fatty acids related key modules and genes in metabolic dysfunction-associated fatty liver disease using WGCNA analysis.

Xiao C, Chen S, Yang C, Liu J, Yu M. Xiao C, et al. Among authors: chen s. Front Genet. 2022 Nov 8;13:951224. doi: 10.3389/fgene.2022.951224. eCollection 2022. Front Genet. 2022. PMID: 36425072 Free PMC article.

2

Weighted Gene Co-expression Network Analysis Identifies Crucial Genes Mediating Progression of Carotid Plaque.

Chen M, Chen S, Yang D, Zhou J, Liu B, Chen Y, Ye W, Zhang H, Ji L, Zheng Y. Chen M, et al. Among authors: chen s, chen y. Front Physiol. 2021 Feb 5;12:601952. doi: 10.3389/fphys.2021.601952. eCollection 2021. Front Physiol. 2021. PMID: 33613306 Free PMC article.

3

Key ferroptosis-related genes in abdominal aortic aneurysm formation and rupture as determined by combining bioinformatics techniques.

Ren J, Lv Y, Wu L, Chen S, Lei C, Yang D, Li F, Liu C, Zheng Y. Ren J, et al. Among authors: chen s. Front Cardiovasc Med. 2022 Aug 9;9:875434. doi: 10.3389/fcvm.2022.875434. eCollection 2022. Front Cardiovasc Med. 2022. PMID: 36017103 Free PMC article.

4

Identification of crucial genes in abdominal aortic aneurysm by WGCNA.

Chen S, Yang D, Lei C, Li Y, Sun X, Chen M, Wu X, Zheng Y. Chen S, et al. Among authors: chen m. PeerJ. 2019 Oct 8;7:e7873. doi: 10.7717/peerj.7873. eCollection 2019. PeerJ. 2019. PMID: 31608184 Free PMC article.

5

Crucial Gene Identification in Carotid Atherosclerosis Based on Peripheral Blood Mononuclear Cell (PBMC) Data by Weighted (Gene) Correlation Network Analysis (WGCNA).

Chen S, Yang D, Liu Z, Li F, Liu B, Chen Y, Ye W, Zheng Y. Chen S, et al. Among authors: chen y. Med Sci Monit. 2020 Mar 11;26:e921692. doi: 10.12659/MSM.921692. Med Sci Monit. 2020. PMID: 32160184 Free PMC article.

6

Identification and validation of key genes mediating intracranial aneurysm rupture by weighted correlation network analysis.

Chen S, Yang D, Liu B, Wang L, Chen Y, Ye W, Liu C, Ni L, Zhang X, Zheng Y. Chen S, et al. Among authors: chen y. Ann Transl Med. 2020 Nov;8(21):1407. doi: 10.21037/atm-20-4083. Ann Transl Med. 2020. PMID: 33313152 Free PMC article.

7

Identification of crucial genes mediating abdominal aortic aneurysm pathogenesis based on gene expression profiling of perivascular adipose tissue by WGCNA.

Chen S, Yang D, Liu B, Chen Y, Ye W, Chen M, Zheng Y. Chen S, et al. Among authors: chen m, chen y. Ann Transl Med. 2021 Jan;9(1):52. doi: 10.21037/atm-20-3758. Ann Transl Med. 2021. PMID: 33553345 Free PMC article.

8

Exploration of Crucial Mediators for Carotid Atherosclerosis Pathogenesis Through Integration of Microbiome, Metabolome, and Transcriptome.

Ji L, Chen S, Gu G, Zhou J, Wang W, Ren J, Wu J, Yang D, Zheng Y. Ji L, et al. Among authors: chen s. Front Physiol. 2021 May 24;12:645212. doi: 10.3389/fphys.2021.645212. eCollection 2021. Front Physiol. 2021. PMID: 34108883 Free PMC article.

9

Identification of potential proteases for abdominal aortic aneurysm by weighted gene coexpression network analysis.

Zhang H, Yang D, Chen S, Li F, Cui L, Liu Z, Shao J, Chen Y, Liu B, Zheng Y. Zhang H, et al. Among authors: chen s, chen y. Genome. 2020 Nov;63(11):561-575. doi: 10.1139/gen-2020-0041. Epub 2020 Aug 12. Genome. 2020. PMID: 32783773

10

Weighted miRNA co-expression network reveals potential roles of apoptosis related pathways and crucial genes in thoracic aortic aneurysm.

Chen S, Ji L, Chen M, Yang D, Zhou J, Zheng Y. Chen S, et al. Among authors: chen m. J Thorac Dis. 2021 May;13(5):2776-2789. doi: 10.21037/jtd-20-3601. J Thorac Dis. 2021. PMID: 34164170 Free PMC article.

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