ArticleGenome biology2025
Sceptic: pseudotime analysis for time-series single-cell sequencing and imaging data.
Article in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed.
- Transcriptional dynamics of the murine heart during perinatal development at single-cell resolution.Biology open · 2026Article
- Reference-guided pseudotime inference across species and biological contexts.bioRxiv : the preprint server for biology · 2026Article
- scTimeBench: a streamlined benchmarking platform for single-cell time-series analysis.Bioinformatics (Oxford, England) · 2026Article
- TemporalVAE: atlas-assisted temporal mapping of time-series single-cell transcriptomes during embryogenesis.Nature cell biology · 2025Article
- Sceptic: pseudotime analysis for time-series single-cell sequencing and imaging data.Genome biology · 2025Article
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Authors and funding
9 authors.
Funding
Abstract
Several computational methods have been developed to construct single-cell pseudotime embeddings for extracting the temporal order of transcriptional cell states from time-series scRNA-seq datasets. However, existing methods suffer from low predictive accuracy, and this problem becomes even worse when we try to generalize to other data types such as scATAC-seq or microscopy images. To address this problem, we propose Sceptic, a support vector machine model for supervised pseudotime analysis. We demonstrate that Sceptic achieves significantly improved prediction power relative to state-of-the-art methods, and that Sceptic can be applied to a variety of single-cell data types, including single-nucleus image data.
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Registered trials
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