High and low immune infiltration subtypes of CAS samples in the GSE43292 cohort distinguished via consensus clustering.

<p>(A) Cumulative distribution function curve for different K values. (B) Consensus matrix when K = 2. CAS samples were divided into cluster A and cluster B. (C) Differences in the infiltration level of immune cell subtypes between cluster A, cluster B, and the control group. (D) Differences i...

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Bibliographic Details
Main Author:	Yi Zhang (9093) (author)
Other Authors:	Lingmin Zhang (2005489) (author), Yunfang Jia (5019020) (author), Jing Fang (170284) (author), Shuancheng Zhang (20404901) (author), Xianming Hou (20404904) (author)
Published:	2024
Subjects:	Medicine Genetics Immunology Developmental Biology Cancer Infectious Diseases Virology Computational Biology Biological Sciences not elsewhere classified gene expression omnibus drug therapy alone biological processes linked biological processes associated immune response pathway immune cell subtypes healthy vascular tissue distinguish immune phenotypes potential regulatory genes higher immune scores cas vascular tissue whereas early cas stratify cas samples cas progression may vascular tissues immune microenvironment immune cells may regulate hub genes higher number cas samples cas ), advanced cas various stages tpm2 </ study aimed ssgsea algorithm satisfactory efficacy ptprc </ pressing need pathological process myoz2 </ ldb3 </ interaction networks infiltration levels identified using essential characteristics drives cardiovascular different clusters diagnostic efficiency detect changes consensus clustering carotid atherosclerosis assessed using actn2 </ actc1 </
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High and low immune infiltration subtypes of CAS samples in the GSE43292 cohort distinguished via consensus clustering.

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