Monte Carlo reference-based consensus clustering
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.
| System | Target | Derivation | Build status |
|---|---|---|---|
| x86_64-linux | /gnu/store/68ipf0bjll0ly6xs521qjf07shbzk8nk-r-m3c-1.18.0.drv | ||
| i686-linux | /gnu/store/81vymynh1pg4p17pv6xhwizgbxb1lwpw-r-m3c-1.18.0.drv |
| Linter | Message | Location |
|---|---|---|
| No lint warnings ✓ | ||