Cargando…
Genotype-phenotype association study via new multi-task learning model
Research on the associations between genetic variations and imaging phenotypes is developing with the advance in high-throughput genotype and brain image techniques. Regression analysis of single nucleotide polymorphisms (SNPs) and imaging measures as quantitative traits (QTs) has been proposed to i...
Autores principales: | Huo, Zhouyuan, Shen, Dinggang, Huang, Heng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5890010/ https://www.ncbi.nlm.nih.gov/pubmed/29218896 |
Ejemplares similares
-
Subclass-based multi-task learning for Alzheimer's disease diagnosis
por: Suk, Heung-II, et al.
Publicado: (2014) -
Multi-Task Linear Programming Discriminant Analysis for the Identification of Progressive MCI Individuals
por: Yu, Guan, et al.
Publicado: (2014) -
Integrative analysis of multi-dimensional imaging genomics data for Alzheimer's disease prediction
por: Zhang, Ziming, et al.
Publicado: (2014) -
A multi-task deep learning model for EGFR genotyping prediction and GTV segmentation of brain metastasis
por: Zhou, Zichun, et al.
Publicado: (2023) -
Drug knowledge discovery via multi-task learning and pre-trained models
por: Li, Dongfang, et al.
Publicado: (2021)