View source: R/plans_common_clustering.R
get_clustering_graph_subplan | R Documentation |
Currently supported community-based detection algorithms are:
igraph::cluster_leiden()
igraph::cluster_louvain()
igraph::cluster_walktrap()
See run_graph_based_clustering()
for more details.
get_clustering_graph_subplan(
sce_target_name,
dimred,
cluster_graph_louvain_enabled,
cluster_graph_louvain_resolutions_,
cluster_graph_walktrap_enabled,
cluster_graph_leiden_enabled,
cluster_graph_leiden_resolutions_,
cluster_graph_snn_k_,
cluster_graph_snn_type_,
is_integration,
plots_out_dir
)
sce_target_name |
A character scalar: name of target representing a SCE object that will be used for SNN graph construction. |
dimred |
A character scalar: which |
cluster_graph_louvain_resolutions_ , cluster_graph_leiden_resolutions_ |
A numeric vector: resolutions to calculate for the selected clustering method. |
cluster_graph_leiden_enabled , cluster_graph_louvain_enabled , cluster_graph_walktrap_enabled |
A logical scalar: if |
cluster_graph_snn_k_ , cluster_graph_snn_type_ |
Passed to |
is_integration |
A logical scalar: if |
plots_out_dir |
A character scalar: path to output directory to save plots (e.g. |
drake::drake_plan()
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