Dementia subtype prediction models constructed by penalized regression methods for multiclass classification using serum microRNA expression data

There are many subtypes of dementia, and identification of diagnostic biomarkers that are minimally-invasive, low-cost, and efficient is desired. Circulating microRNAs (miRNAs) have recently gained attention as easily accessible and non-invasive biomarkers. We conducted a comprehensive miRNA express...

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Detalles Bibliográficos
Autores principales: Asanomi, Yuya, Shigemizu, Daichi, Akiyama, Shintaro, Sakurai, Takashi, Ozaki, Kouichi, Ochiya, Takahiro, Niida, Shumpei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8536697/
https://www.ncbi.nlm.nih.gov/pubmed/34686734
http://dx.doi.org/10.1038/s41598-021-00424-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8536697/
https://www.ncbi.nlm.nih.gov/pubmed/34686734
http://dx.doi.org/10.1038/s41598-021-00424-1

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