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SGI: Automatic clinical subgroup identification in omics datasets
2021
Bioinformatics
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 that can process an arbitrary number of clinical parameters and outcomes in a systematic fashion. A multi-block extension allows for the simultaneous use of multiple omics datasets on the same samples. In this
doi:10.1093/bioinformatics/btab656
pmid:34529048
pmcid:PMC8723155
fatcat:bxvzsnqlxbhvxbf3tyr5f47vp4