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BenchClust

This repository includes benchmarking for clustering and community detection techniques.

  • Summary of domain-agnostic clustering techniques. Method names along with their corresponding algorithmic details and computing platforms are provided.
Method Type Algorithm Library (function) [platform]
Partitional k-means stats (k-means) [R]
Linkage Hierarchical cluster (agnes) [R]
Model-based: Gaussian Mixtures Hcmodel mclust (hc) [R]
Density-based DBSCAN dbscan (dbscan) [R]
Subspace-based Hddc HDclassif (hddc) [R]
Graph-based: Community Detection Louvain igraph(louvain) [R]
Graph-based: Community Detection Infomap igraph(louvain) [R]
Graph-based: Shared nearest neighbor SNNclust dbscan (sNNclust) [R]
  • A summary of domain-specific clustering techniques for single-cell RNA sequencing data. Method names along with their corresponding algorithmic details and computing platforms are provided.
Method Type Algorithm Platform
Seurat graph-based PCA + KNN + Louivan R
Monocle3 graph-based PCA + KNN + Leiden R
CIDR Linkage PCA + hierarchical R
Sincell Partition K-mediods R
pcaReduce Linkage/Partition PCA + k-means + hierarchical R
SC3 Partition PCA + k-means R
RaceID3 Partition k-means R
sscClust graph-based Shared nearest neighbor R
Data Set Year Technology Data type Number of Cells Cell Populations Features PMID
Baron 2016 Droplet UMI counts 1886 13 14861 27667365
Darmanis 2015 SMARTer Read counts 466 9 21630 26060301
Deng 2014 Smart-Seq Read counts 268 6 21297 24408435
Goolam 2016 Smart-Seq2 Read counts 124 4 28147 27015307
Klein 2015 Droplet UMI counts 2717 4 24047 26000487
Li 2017 SMARTer Read counts 561 9 43055 28319088
Romanov 2016 Fluidigm C1 Read counts 2881 7 21143 27991900
Zeisel 2015 C1 UMI UMI counts 3005 9 19972 25700174

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