polyClustR: defining communities of reconciled cancer subtypes with biological and prognostic significance.
Katherine EasonGift NyamundandaAnguraj SadanandamPublished in: BMC bioinformatics (2018)
We demonstrate the value of the polyClustR approach of applying multiple consensus clustering algorithms and systematically reconciling the results in identifying novel subtype communities of two cancer types, which nevertheless are compatible with established understanding of these diseases. An R implementation of the pipeline is available at: https://github.com/syspremed/polyClustR.