PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells

PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells

Abstract Single-cell RNA-seq quantifies biological heterogeneity across both discrete cell types and continuous cell transitions. Partition-based graph abstraction (PAGA) provides an interpretable graph-like map of the arising data manifold, based on estimating connectivity of manifold partitions (h...

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Bibliographic Details
Main Authors: F. Alexander Wolf, Fiona K. Hamey, Mireya Plass, Jordi Solana, Joakim S. Dahlin, Berthold Göttgens, Nikolaus Rajewsky, Lukas Simon, Fabian J. Theis
Format: Article
Language:English
Published: BMC 2019-03-01
Series:Genome Biology
Online Access:http://link.springer.com/article/10.1186/s13059-019-1663-x

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http://link.springer.com/article/10.1186/s13059-019-1663-x

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