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Integrate multi-omics data with biological interaction networks using Multi-view Factorization AutoEncoder (MAE)
BACKGROUND: Comprehensive molecular profiling of various cancers and other diseases has generated vast amounts of multi-omics data. Each type of -omics data corresponds to one feature space, such as gene expression, miRNA expression, DNA methylation, etc. Integrating multi-omics data can link differ...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6923820/ https://www.ncbi.nlm.nih.gov/pubmed/31856727 http://dx.doi.org/10.1186/s12864-019-6285-x |