The Blood Gene Expression Signature for Kawasaki Disease in Children Identified with Advanced Feature Selection Methods
Joint Authors
Hu, Bing
Li, Yun
Wang, Guilian
Zhang, Yanqing
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-29
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Kawasaki disease (KD) is an acute vasculitis, accompanied by coronary artery aneurysm, coronary artery dilatation, arrhythmia, and other serious cardiovascular diseases.
So far, the etiology of KD is unclear; it is necessary to study the molecular mechanism and related factors of KD.
In this study, we analyzed the expression profiles of 75 DB (identifying bacteria), 122 DV (identifying virus), 71 HC (healthy control), and 311 KD (Kawasaki disease) samples.
332 key genes related to KD and pathogen infections were identified using a combination of advanced feature selection methods: (1) Boruta, (2) Monte-Carlo Feature Selection (MCFS), and (3) Incremental Feature Selection (IFS).
The number of signature genes was narrowed down step by step.
Subsequently, their functions were revealed by KEGG and GO enrichment analyses.
Our results provided clues of potential molecular mechanisms of KD and were helpful for KD detection and treatment.
American Psychological Association (APA)
Hu, Bing& Li, Yun& Wang, Guilian& Zhang, Yanqing. 2020. The Blood Gene Expression Signature for Kawasaki Disease in Children Identified with Advanced Feature Selection Methods. BioMed Research International،Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1135463
Modern Language Association (MLA)
Hu, Bing…[et al.]. The Blood Gene Expression Signature for Kawasaki Disease in Children Identified with Advanced Feature Selection Methods. BioMed Research International No. 2020 (2020), pp.1-6.
https://search.emarefa.net/detail/BIM-1135463
American Medical Association (AMA)
Hu, Bing& Li, Yun& Wang, Guilian& Zhang, Yanqing. The Blood Gene Expression Signature for Kawasaki Disease in Children Identified with Advanced Feature Selection Methods. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1135463
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1135463