Improving the Diagnosis of Phenylketonuria by Using a Machine Learning–Based Screening Model of Neonatal MRM Data

Phenylketonuria (PKU) is a common genetic metabolic disorder that affects the infant's nerve development and manifests as abnormal behavior and developmental delay as the child grows. Currently, a triple–quadrupole mass spectrometer (TQ-MS) is a common high-accuracy clinical PKU screening metho...

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Detalles Bibliográficos
Autores principales: Zhu, Zhixing, Gu, Jianlei, Genchev, Georgi Z., Cai, Xiaoshu, Wang, Yangmin, Guo, Jing, Tian, Guoli, Lu, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Molecular Biosciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7358370/
https://www.ncbi.nlm.nih.gov/pubmed/32733913
http://dx.doi.org/10.3389/fmolb.2020.00115

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7358370/
https://www.ncbi.nlm.nih.gov/pubmed/32733913
http://dx.doi.org/10.3389/fmolb.2020.00115

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