Mining genetic and transcriptomic data using machine learning approaches in Parkinson’s disease

High-throughput techniques have generated abundant genetic and transcriptomic data of Parkinson’s disease (PD) patients but data analysis approaches such as traditional statistical methods have not provided much in the way of insightful integrated analysis or interpretation of the data. As an advanc...

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Detalles Bibliográficos
Autores principales: Su, Chang, Tong, Jie, Wang, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481248/
https://www.ncbi.nlm.nih.gov/pubmed/32964109
http://dx.doi.org/10.1038/s41531-020-00127-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481248/
https://www.ncbi.nlm.nih.gov/pubmed/32964109
http://dx.doi.org/10.1038/s41531-020-00127-w

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