Sparse multiple co-Inertia analysis with application to integrative analysis of multi -Omics data

BACKGROUND: Multiple co-inertia analysis (mCIA) is a multivariate analysis method that can assess relationships and trends in multiple datasets. Recently it has been used for integrative analysis of multiple high-dimensional -omics datasets. However, its estimated loading vectors are non-sparse, whi...

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Detalles Bibliográficos
Autores principales: Min, Eun Jeong, Long, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7157996/
https://www.ncbi.nlm.nih.gov/pubmed/32293260
http://dx.doi.org/10.1186/s12859-020-3455-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7157996/
https://www.ncbi.nlm.nih.gov/pubmed/32293260
http://dx.doi.org/10.1186/s12859-020-3455-4

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