Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

CID.Louvain

Detects community substructure by Louvain community detection


Description

CID.Louvain determines Louvain clusters from an edge list.

Usage

CID.Louvain(edges)

Arguments

edges

A data frame or matrix with edges

Value

A character vector with the community substructures of the graph corresponding to Louvain clusters.

Examples

## Not run: 
# Loads edges
file.dir = "https://kleintools.hms.harvard.edu/tools/client_datasets/"
file = "CITESEQ_EXPLORATORY_CITESEQ_5K_PBMCS/FullDataset_v1_protein/edges.csv"
download.file(paste0(file.dir, file, "?raw=true"), destfile = "edges.csv")

# data.dir is your path to the "edges.csv" file
edges = CID.LoadEdges(data.dir = ".")

# get louvain clusters from edge list
clusters = CID.Louvain(edges)

## End(Not run)

SignacX

Cell Type Identification and Discovery from Single Cell Gene Expression Data

v2.2.0
GPL-3
Authors
Mathew Chamberlain [aut, cre], Virginia Savova [aut], Richa Hanamsagar [aut], Frank Nestle [aut], Emanuele de Rinaldis [aut], Sanofi US [fnd]
Initial release
2021-02-24

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.