Published December 16, 2021
| Version v0.0.1
Software
Open
Phiclust: A clusterability measure for single-cell transcriptomics reveals phenotypic subpopulations
Creators
- 1. Leiden University
- 2. Leiden University Medical Center
Description
The ability to discover new cell phenotypes by unsupervised clustering of single-cell transcriptomes has revolutionized biology. Currently, there is no principled way to decide whether a cluster of cells contains meaningful subpopulations that should be further resolved. Here we present phiclust, a clusterability measure derived from random matrix theory, that can be used to identify cell clusters with non-random substructure, testably leading to the discovery of previously overlooked phenotypes.
Files
semraulab/phiclust-v0.0.1.zip
Files
(81.8 MB)
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Additional details
Related works
- Is supplement to
- https://github.com/semraulab/phiclust/tree/v0.0.1 (URL)