Cargando…
Integrating multi-OMICS data through sparse canonical correlation analysis for the prediction of complex traits: a comparison study
MOTIVATION: Recent developments in technology have enabled researchers to collect multiple OMICS datasets for the same individuals. The conventional approach for understanding the relationships between the collected datasets and the complex trait of interest would be through the analysis of each OMI...
Autores principales: | Rodosthenous, Theodoulos, Shahrezaei, Vahid, Evangelou, Marina |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7750936/ https://www.ncbi.nlm.nih.gov/pubmed/32437529 http://dx.doi.org/10.1093/bioinformatics/btaa530 |
Ejemplares similares
-
inMTSCCA: An Integrated Multi-task Sparse Canonical Correlation Analysis for Multi-omic Brain Imaging Genetics
por: Du, Lei, et al.
Publicado: (2023) -
Multi-Omics Data Fusion for Cancer Molecular Subtyping Using Sparse Canonical Correlation Analysis
por: Qi, Lin, et al.
Publicado: (2021) -
MOSS: multi-omic integration with sparse value decomposition
por: Gonzalez-Reymundez, Agustin, et al.
Publicado: (2022) -
Group sparse canonical correlation analysis for genomic data integration
por: Lin, Dongdong, et al.
Publicado: (2013) -
Robust sparse canonical correlation analysis
por: Wilms, Ines, et al.
Publicado: (2016)