ArticleGenome biology2022
Phiclust: a clusterability measure for single-cell transcriptomics reveals phenotypic subpopulations.
Article in Genome biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Introduction to correlation networks: Interdisciplinary approaches beyond thresholding.Physics reports · 2025Article
- Principled PCA separates signal from noise in omics count data.bioRxiv : the preprint server for biology · 2025Article
- Unsupervised multiscale clustering of single-cell transcriptomes to identify hierarchical structures of cell subtypes.GigaScience · 2025Article
- Synthetic control removes spurious discoveries from double dipping in single-cell and spatial transcriptomics data analyses.bioRxiv : the preprint server for biology · 2024Article
- aKNNO: single-cell and spatial transcriptomics clustering with an optimized adaptive k-nearest neighbor graph.Genome biology · 2024Article
- scLENS: data-driven signal detection for unbiased scRNA-seq data analysis.Nature communications · 2024Article
- Phiclust: a clusterability measure for single-cell transcriptomics reveals phenotypic subpopulations.Genome biology · 2022Article
- Why isn't each cell its own cell type? Diminishing returns of increasing cell type diversity can explain cell type allometry.Frontiers in cell and developmental biology · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 (ϕ
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.