This package is a implementation of biclustering ensemble method MoSBi (Molecular signature Identification from Biclustering). MoSBi provides standardized interfaces for biclustering results and can combine their results with a multi-algorithm ensemble approach to compute robust ensemble biclusters on molecular omics data. This is done by computing similarity networks of biclusters and filtering for overlaps using a custom error model. After that, the louvain modularity it used to extract biclus
$npx -y skills add biomate-ai/biomate-bioconductor-kb --skill mosbiInstalls into the current project.
Run `npx skills use "https://github.com/biomate-ai/biomate-bioconductor-kb" --skill "biomate-ai/biomate-bioconductor-kb/mosbi"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/biomate-ai/biomate-bioconductor-kb" that are relevant to the current task. Run `npx skills add "https://github.com/biomate-ai/biomate-bioconductor-kb"` and select the relevant skills, then follow their instructions.