Multi-view Subspace Clustering Analysis for Aggregating Multiple Heterogeneous Omics Data

Integration of distinct biological data types could provide a comprehensive view of biological processes or complex diseases. The combinations of molecules responsible for different phenotypes form multiple embedded (expression) subspaces, thus identifying the intrinsic data structure is challenging...

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Detalles Bibliográficos
Autores principales: Shi, Qianqian, Hu, Bing, Zeng, Tao, Zhang, Chuanchao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6712585/
https://www.ncbi.nlm.nih.gov/pubmed/31497031
http://dx.doi.org/10.3389/fgene.2019.00744

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6712585/
https://www.ncbi.nlm.nih.gov/pubmed/31497031
http://dx.doi.org/10.3389/fgene.2019.00744

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