Unified framework fo consensus clustering.
Basic
| 软件包 | 链接 |
|---|---|
| Language | R, C++, JavaScript |
| Bioconductor | https://bioconductor.org/packages/cola/ |
| GitHub | https://github.com/jokergoo/cola |
| Documentation | https://jokergoo.github.io/cola/ |
| Publication | Zuguang Gu, et al., Improve consensus partitioning via a hierarchical procedure. Briefings in Bioinformatics 2022. Zuguang Gu, et al., cola: an R/Bioconductor package for consensus partitioning through a general framework. Nucleic Acids Research 2021. |
Example
Standrad consensus clustering.
mat = adjust_matrix(mat) # optional
rl = run_all_consensus_partition_methods(
mat,
top_value_method = c("SD", "MAD", ...),
partition_method = c("hclust", "kmeans", ...),
cores = ...)
cola_report(rl, output_dir = ...)
Hierarchical consensus clustering.
mat = adjust_matrix(mat) # optional
rh = hierarchical_partition(mat, mc.cores = ...)
cola_report(rh, output_dir = ...)