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GIFT: Guided and Interpretable Factorization for Tensors with an application to large-scale multi-platform cancer analysis
MOTIVATION: Given multi-platform genome data with prior knowledge of functional gene sets, how can we extract interpretable latent relationships between patients and genes? More specifically, how can we devise a tensor factorization method which produces an interpretable gene factor matrix based on...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6289137/ https://www.ncbi.nlm.nih.gov/pubmed/29931238 http://dx.doi.org/10.1093/bioinformatics/bty490 |