Planned intervention: On Wednesday June 26th 05:30 UTC Zenodo will be unavailable for 10-20 minutes to perform a storage cluster upgrade.
Published December 16, 2021 | Version v0.0.1
Software Open

Phiclust: A clusterability measure for single-cell transcriptomics reveals phenotypic subpopulations

  • 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)

Name Size Download all
md5:c4d38a0205b3877e1ba12cb3e278c1ef
81.8 MB Preview Download

Additional details

Related works