Cargando…
Prognosis prediction model for conversion from mild cognitive impairment to Alzheimer’s disease created by integrative analysis of multi-omics data
BACKGROUND: Mild cognitive impairment (MCI) is a precursor to Alzheimer’s disease (AD), but not all MCI patients develop AD. Biomarkers for early detection of individuals at high risk for MCI-to-AD conversion are urgently required. METHODS: We used blood-based microRNA expression profiles and genomi...
Autores principales: | Shigemizu, Daichi, Akiyama, Shintaro, Higaki, Sayuri, Sugimoto, Taiki, Sakurai, Takashi, Boroevich, Keith A., Sharma, Alok, Tsunoda, Tatsuhiko, Ochiya, Takahiro, Niida, Shumpei, Ozaki, Kouichi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7656734/ https://www.ncbi.nlm.nih.gov/pubmed/33172501 http://dx.doi.org/10.1186/s13195-020-00716-0 |
Ejemplares similares
-
A comparison of machine learning classifiers for dementia with Lewy bodies 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) -
Identification of potential blood biomarkers for early diagnosis of Alzheimer’s disease through RNA sequencing analysis
por: Shigemizu, Daichi, et al.
Publicado: (2020) -
Risk prediction models for dementia constructed by supervised principal component analysis using miRNA expression data
por: Shigemizu, Daichi, et al.
Publicado: (2019) -
Dementia subtype prediction models constructed by penalized regression methods for multiclass classification using serum microRNA expression data
por: Asanomi, Yuya, et al.
Publicado: (2021)