scran
C++ library for basic single-cell RNA-seq analyses
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Classes | Public Member Functions | List of all members
scran::ClusterSnnGraphMultiLevel Class Reference

Multi-level clustering on a shared nearest-neighbor graph. More...

#include <ClusterSnnGraph.hpp>

Classes

struct  Defaults
 Default parameter settings. More...
 
struct  Results
 Result of the igraph multi-level community detection algorithm. More...
 

Public Member Functions

ClusterSnnGraphMultiLevelset_seed (int s=Defaults::seed)
 
ClusterSnnGraphMultiLevelset_resolution (double r=Defaults::resolution)
 
Results run (const BuildSnnGraph::Results &store) const
 
Results run (const igraph::Graph &graph, const igraph_real_t *weights) const
 

Detailed Description

Multi-level clustering on a shared nearest-neighbor graph.

This applies multi-level (i.e., "Louvain") clustering on a shared nearest neighbor graph. See here for more details on the multi-level algorithm.

Member Function Documentation

◆ set_seed()

ClusterSnnGraphMultiLevel & scran::ClusterSnnGraphMultiLevel::set_seed ( int  s = Defaults::seed)
inline
Parameters
sSeed for the default igraph random number generator.
Returns
A reference to this ClusterSnnGraphMultiLevel object.

◆ set_resolution()

ClusterSnnGraphMultiLevel & scran::ClusterSnnGraphMultiLevel::set_resolution ( double  r = Defaults::resolution)
inline
Parameters
rResolution of the clustering, must be non-negative. Lower values favor fewer, larger communities; higher values favor more, smaller communities.
Returns
A reference to this ClusterSnnGraphMultiLevel object.

◆ run() [1/2]

Results scran::ClusterSnnGraphMultiLevel::run ( const BuildSnnGraph::Results store) const
inline

Run the multi-level community detection algorithm on a shared nearest-neighbor graph constructed from knncolle::Base object.

Parameters
storeSNN graph built by BuildSnnGraph::run().
Returns
A Results object containing the clustering results for all cells.

◆ run() [2/2]

Results scran::ClusterSnnGraphMultiLevel::run ( const igraph::Graph graph,
const igraph_real_t *  weights 
) const
inline

Run the multi-level community detection algorithm on a pre-constructed shared nearest-neighbor graph as a Graph object.

Parameters
graphAn existing igraph::Graph object, typically built by BuildSnnGraph::Results::to_igraph().
weightsPointer to an array of weights of length equal to the number of edges in graph.
Returns
A Results object containing the clustering results for all cells.

The documentation for this class was generated from the following file: