Integrative subspace clustering by common and specific decomposition for applications on cancer subtype identification

BACKGROUND: Recent high throughput technologies have been applied for collecting heterogeneous biomedical omics datasets. Computational analysis of the multi-omics datasets could potentially reveal deep insights for a given disease. Most existing clustering methods by multi-omics data assume strong...

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Detalles Bibliográficos
Autores principales: Guo, Yin, Li, Huiran, Cai, Menglan, Li, Limin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929329/
https://www.ncbi.nlm.nih.gov/pubmed/31874642
http://dx.doi.org/10.1186/s12920-019-0633-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929329/
https://www.ncbi.nlm.nih.gov/pubmed/31874642
http://dx.doi.org/10.1186/s12920-019-0633-1

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