Diagnostic model of Kawasaki disease constructed by a novel feature selection strategy from comprehensive sets of transcriptomic data

Abstract excerpt

The etiology of Kawasaki disease is unknown, and the lack of specific markers and diagnostic models makes the diagnosis of some cases difficult. In this study, we use bioinformatics methods with better stability and discrimination ability to identify Kawasaki disease-related characteristic genes, mine potential pathogenic and diagnostic markers of Kawasaki disease, and build a Kawasaki disease diagnostic model. A...

Topics

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• Databases, Genetic
• Gene Regulatory Networks
• Leukocytes
• Metabolic Networks and Pathways
• Models, Statistical
• Mucocutaneous Lymph Node Syndrome
• NF-kappa B
• NFATC Transcription Factors

Identifiers and source

Literature Corpus work

5dde7182-4f9b-5e24-82ae-56bf0d47cc98

DOI

10.21203/rs.3.rs-1889625/v1