Cargando…
Exploiting machine learning models to identify novel Alzheimer’s disease biomarkers and potential targets
We still do not have an effective treatment for Alzheimer's disease (AD) despite it being the most common cause of dementia and impaired cognitive function. Thus, research endeavors are directed toward identifying AD biomarkers and targets. In this regard, we designed a computational method tha...
Autores principales: | Alamro, Hind, Thafar, Maha A., Albaradei, Somayah, Gojobori, Takashi, Essack, Magbubah, Gao, Xin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10043000/ https://www.ncbi.nlm.nih.gov/pubmed/36973386 http://dx.doi.org/10.1038/s41598-023-30904-5 |
Ejemplares similares
-
Affinity2Vec: drug-target binding affinity prediction through representation learning, graph mining, and machine learning
por: Thafar, Maha A., et al.
Publicado: (2022) -
Predicting Bone Metastasis Using Gene Expression-Based Machine Learning Models
por: Albaradei, Somayah, et al.
Publicado: (2021) -
Machine learning and deep learning methods that use omics data for metastasis prediction
por: Albaradei, Somayah, et al.
Publicado: (2021) -
MetaCancer: A deep learning-based pan-cancer metastasis prediction model developed using multi-omics data
por: Albaradei, Somayah, et al.
Publicado: (2021) -
MetastaSite: Predicting metastasis to different sites using deep learning with gene expression data
por: Albaradei, Somayah, et al.
Publicado: (2022)