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

• Hoofdauteurs: Ken-Pen Weng (Auteur), Sung-Chou Li (Auteur), Kuang-Jen Chien (Auteur), Kuo-Wang Tsai (Auteur), Ho-Chang Kuo (Auteur), Kai-Sheng Hsieh (Auteur), Shih-Hui Huang (Auteur)
• Formaat: Boek
• Gepubliceerd in: MDPI AG, 2021-07-01T00:00:00Z.
• Onderwerpen: article
• Online toegang: Connect to this object online.

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...