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SGI: automatic clinical subgroup identification in omics datasets
SUMMARY: The ‘Subgroup Identification’ (SGI) toolbox provides an algorithm to automatically detect clinical subgroups of samples in large-scale omics datasets. It is based on hierarchical clustering trees in combination with a specifically designed association testing and visualization framework tha...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8723155/ https://www.ncbi.nlm.nih.gov/pubmed/34529048 http://dx.doi.org/10.1093/bioinformatics/btab656 |