run_snf: Run SNF

In metasnf: Meta Clustering with Similarity Network Fusion

Run SNF

Description

Helper function for running a single SNF config pipeline.

Usage

run_snf(i, dl, sc, return_sim_mats, sim_mats_dir, p)

Arguments

i	Row of settings_df and weights_matrix within SNF config to use.
dl	A nested list of input data from data_list().
sc	An snf_config class object which stores all sets of hyperparameters used to transform data in dl into a cluster solutions. See ?settings_df or https://branchlab.github.io/metasnf/articles/settings_df.html for more details.
return_sim_mats	If TRUE, function will return a list where the first element is the solutions data frame and the second element is a list of similarity matrices for each row in the sol_df. Default FALSE.
sim_mats_dir	If specified, this directory will be used to save all generated similarity matrices.

Value

A list containing a cluster solution (numeric vector) and a the fused network used to create that cluster solution. The fused network is NULL if return_sim_mats is FALSE.

metasnf documentation built on April 3, 2025, 5:40 p.m.