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/08q9zscpibvh7xbpd3s9dpshasr7xm90-r-m3c-1.12.0.drv | ||
mips64el-linux | /gnu/store/y49j9cbddzxzc9brc7yynsz53wr19w90-r-m3c-1.12.0.drv | ||
i686-linux | /gnu/store/k3jbyhhg523kn68sx2pg01z6q4d34gw6-r-m3c-1.12.0.drv | ||
i586-gnu | /gnu/store/zvhmbklyv0hzs591g005a8pvf36agm0n-r-m3c-1.12.0.drv | ||
armhf-linux | /gnu/store/gk8m2sqvahn90q4v4wch5jr1hbbcga0f-r-m3c-1.12.0.drv | ||
aarch64-linux | /gnu/store/70a9xamz727si8ibq6ad0nlgv6xwsgf3-r-m3c-1.12.0.drv |
Linter | Message | Location |
---|---|---|
No lint warnings ✓ |