M3C is a consensus clustering algorithm that uses a Monte Carlo simulation to eliminate overestimation of K and can reject the null hypothesis K=1.

Monte Carlo Reference-based Consensus Clustering

package-ubuntu-20.04-r-4.0.5#cran#M3C-1.12.0

This is the expression data from the GBM dataset. It is a data frame with 50 columns and 1740 rows.

Chris John <a href="mailto:chris.r.john86@gmail.com">chris.r.john86@gmail.com</a>

Verhaak, Roel GW, et al. "Integrated genomic analysis identifies clinically 
relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR, 
and NF1." Cancer cell 17.1 (2010): 98-110.

package-ubuntu-20.04-r-4.0.5#cran#M3C-1.12.0#docs#mydata

mydata

Description

Author(s)

References

M3C

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