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The Blood Gene Expression Signature for Kawasaki Disease in Children Identified with Advanced Feature Selection Methods

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,...

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Detalles Bibliográficos
Autores principales: Hu, Bing, Li, Yun, Wang, Guilian, Zhang, Yanqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327570/
https://www.ncbi.nlm.nih.gov/pubmed/32685506
http://dx.doi.org/10.1155/2020/6062436
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author Hu, Bing
Li, Yun
Wang, Guilian
Zhang, Yanqing
author_facet Hu, Bing
Li, Yun
Wang, Guilian
Zhang, Yanqing
author_sort Hu, Bing
collection PubMed
description 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.
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spelling pubmed-73275702020-07-17 The Blood Gene Expression Signature for Kawasaki Disease in Children Identified with Advanced Feature Selection Methods Hu, Bing Li, Yun Wang, Guilian Zhang, Yanqing Biomed Res Int Research Article 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. Hindawi 2020-06-28 /pmc/articles/PMC7327570/ /pubmed/32685506 http://dx.doi.org/10.1155/2020/6062436 Text en Copyright © 2020 Bing Hu et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Hu, Bing
Li, Yun
Wang, Guilian
Zhang, Yanqing
The Blood Gene Expression Signature for Kawasaki Disease in Children Identified with Advanced Feature Selection Methods
title The Blood Gene Expression Signature for Kawasaki Disease in Children Identified with Advanced Feature Selection Methods
title_full The Blood Gene Expression Signature for Kawasaki Disease in Children Identified with Advanced Feature Selection Methods
title_fullStr The Blood Gene Expression Signature for Kawasaki Disease in Children Identified with Advanced Feature Selection Methods
title_full_unstemmed The Blood Gene Expression Signature for Kawasaki Disease in Children Identified with Advanced Feature Selection Methods
title_short The Blood Gene Expression Signature for Kawasaki Disease in Children Identified with Advanced Feature Selection Methods
title_sort blood gene expression signature for kawasaki disease in children identified with advanced feature selection methods
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327570/
https://www.ncbi.nlm.nih.gov/pubmed/32685506
http://dx.doi.org/10.1155/2020/6062436
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