Prediction Model for Diagnosis of Kawasaki Disease Using iTRAQ-Based Analysis

Prediction Model for Diagnosis of Kawasaki Disease Using iTRAQ-Based Analysis

A quick prediction method may help confirm the diagnosis of Kawasaki disease (KD), and reduce the risk of coronary artery lesions. The purpose of this study was to evaluate potential candidate diagnostic serum proteins in KD using isobaric tagging for relative and absolute quantification (iTRAQ) gel...

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Bibliographic Details
Main Authors: Ken-Pen Weng, Sung-Chou Li, Kuang-Jen Chien, Kuo-Wang Tsai, Ho-Chang Kuo, Kai-Sheng Hsieh, Shih-Hui Huang
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Children
Subjects:
Kawasaki disease
proteomics
prediction model
Online Access:https://www.mdpi.com/2227-9067/8/7/576

Internet

https://www.mdpi.com/2227-9067/8/7/576

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