Label propagation

Given a full fused network (one containing both pre-labeled training subjects and unlabeled test-subjects) and the clusters of the pre-labeled subjects, return a label propagated list of clusters for all subjects. This function is derived from SNFtool::groupPredict. Modifications are made to take a full fused network as input, rather than taking input dataframes and running SNF internally. This ensures that alternative approaches to data normalization and distance matrix calculations can be chosen by the user.

Usage

label_prop(full_fused_network, clusters)

Arguments

full_fused_network

Network made by running SNF on training and test subjects together

clusters

a vector of training subject assigned clusters in matching order as they appear in full_fused_network

Value

new_clusters list of cluster labels for all subjects