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

• मुख्य लेखकों: Ken-Pen Weng (लेखक), Sung-Chou Li (लेखक), Kuang-Jen Chien (लेखक), Kuo-Wang Tsai (लेखक), Ho-Chang Kuo (लेखक), Kai-Sheng Hsieh (लेखक), Shih-Hui Huang (लेखक)
• स्वरूप: पुस्तक
• प्रकाशित: MDPI AG, 2021-07-01T00:00:00Z.
• विषय: article
• ऑनलाइन पहुंच: 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...