High order expression dependencies finely resolve cryptic states and subtypes in single cell data

High order expression dependencies finely resolve cryptic states and subtypes in single cell data

Abstract Single cells are typically typed by clustering into discrete locations in reduced dimensional transcriptome space. Here we introduce Stator, a data-driven method that identifies cell (sub)types and states without relying on cells’ local proximity in transcriptome space. Stator labels the sa...

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Bibliographic Details
Main Authors: Abel Jansma, Yuelin Yao, Jareth Wolfe, Luigi Del Debbio, Sjoerd V Beentjes, Chris P Ponting, Ava Khamseh
Format: Article
Language:English
Published: Springer Nature 2025-01-01
Series:Molecular Systems Biology
Subjects:
Higher-order Gene Expression Dependencies
Single-cell Transcriptomics
Structure Learning
Cell State
Cell Cycle Phases
Online Access:https://doi.org/10.1038/s44320-024-00074-1
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https://doi.org/10.1038/s44320-024-00074-1

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