Cargando…
Random forest classifier improving phenylketonuria screening performance in two Chinese populations
Phenylketonuria (PKU) is a genetic disorder with amino acid metabolic defect, which does great harms to the development of newborns and children. Early diagnosis and treatment can effectively prevent the disease progression. Here we developed a PKU screening model using random forest classifier (RFC...
Autores principales: | Song, Yingnan, Yin, Zhe, Zhang, Chuan, Hao, Shengju, Li, Haibo, Wang, Shifan, Yang, Xiangchun, Li, Qiong, Zhuang, Danyan, Zhang, Xinyuan, Cao, Zongfu, Ma, Xu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592754/ https://www.ncbi.nlm.nih.gov/pubmed/36304929 http://dx.doi.org/10.3389/fmolb.2022.986556 |
Ejemplares similares
-
Improving the Diagnosis of Phenylketonuria by Using a Machine Learning–Based Screening Model of Neonatal MRM Data
por: Zhu, Zhixing, et al.
Publicado: (2020) -
Integration of Random Forest Classifiers and Deep Convolutional Neural Networks for Classification and Biomolecular Modeling of Cancer Driver Mutations
por: Agajanian, Steve, et al.
Publicado: (2019) -
Development and Validation of a Prognostic Classifier Based on Lipid Metabolism–Related Genes in Gastric Cancer
por: Wei, Xiao-Li, et al.
Publicado: (2021) -
Identification of a prognostic classifier based on EMT-related lncRNAs and the function of LINC01138 in tumor progression for lung adenocarcinoma
por: Xiao, Lingyan, et al.
Publicado: (2022) -
Identification of deep intronic variants of PAH in phenylketonuria using full-length gene sequencing
por: Zhang, Chuan, et al.
Publicado: (2023)