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...

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Detalles Bibliográficos
Autores principales: Buyukozkan, Mustafa, Suhre, Karsten, Krumsiek, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Applications Notes
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

Internet

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

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