Machine learning-based microarray analyses indicate low-expression genes might collectively influence PAH disease

Accurately predicting and testing the types of Pulmonary arterial hypertension (PAH) of each patient using cost-effective microarray-based expression data and machine learning algorithms could greatly help either identifying the most targeting medicine or adopting other therapeutic measures that cou...

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Detalles Bibliográficos
Autores principales: Cui, Song, Wu, Qiang, West, James, Bai, Jiangping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6705875/
https://www.ncbi.nlm.nih.gov/pubmed/31404060
http://dx.doi.org/10.1371/journal.pcbi.1007264

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6705875/
https://www.ncbi.nlm.nih.gov/pubmed/31404060
http://dx.doi.org/10.1371/journal.pcbi.1007264

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