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Novel feature selection method via kernel tensor decomposition for improved multi-omics data analysis
BACKGROUND: Feature selection of multi-omics data analysis remains challenging owing to the size of omics datasets, comprising approximately [Formula: see text] –[Formula: see text] features. In particular, appropriate methods to weight individual omics datasets are unclear, and the approach adopted...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8876179/ https://www.ncbi.nlm.nih.gov/pubmed/35209912 http://dx.doi.org/10.1186/s12920-022-01181-4 |