Elastic net-based prediction of IFN-β treatment response of patients with multiple sclerosis using time series microarray gene expression profiles

INF-β has been widely used to treat patients with multiple sclerosis (MS) in relapse. Accurate prediction of treatment response is important for effective personalization of treatment. Microarray data have been frequently used to discover new genes and to predict treatment responses. However, conven...

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Detalles Bibliográficos
Autores principales: Fukushima, Arika, Sugimoto, Masahiro, Hiwa, Satoru, Hiroyasu, Tomoyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6372673/
https://www.ncbi.nlm.nih.gov/pubmed/30755676
http://dx.doi.org/10.1038/s41598-018-38441-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6372673/
https://www.ncbi.nlm.nih.gov/pubmed/30755676
http://dx.doi.org/10.1038/s41598-018-38441-2

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