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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2019
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| Materias: | |
| 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 |