Cargando…
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...
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: | |
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 |
Ejemplares similares
-
A comparison of machine learning classifiers for dementia with Lewy bodies using miRNA expression data
por: Shigemizu, Daichi, et al.
Publicado: (2019) -
Network‐based meta‐analysis and the candidate gene association studies reveal novel ethnicity‐specific variants in
MFSD3
and
MRPL43
associated with dementia with Lewy bodies
por: Shigemizu, Daichi, et al.
Publicado: (2022) -
Whole-genome sequencing reveals novel ethnicity-specific rare variants associated with Alzheimer’s disease
por: Shigemizu, Daichi, et al.
Publicado: (2022) -
Risk prediction models for dementia constructed by supervised principal component analysis using miRNA expression data
por: Shigemizu, Daichi, et al.
Publicado: (2019) -
JAMIR-eQTL: Japanese genome-wide identification of microRNA expression
quantitative trait loci across dementia types
por: Akiyama, Shintaro, et al.
Publicado: (2021)