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

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 ( https://g...

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Bibliographic Details
Published in:	Genome Biology Vol. 20; no. 1; p. 59
Main Authors:	Wolf, F. Alexander, Hamey, Fiona K., Plass, Mireya, Solana, Jordi, Dahlin, Joakim S., Göttgens, Berthold, Rajewsky, Nikolaus, Simon, Lukas, Theis, Fabian J.
Format:	Journal Article
Language:	English
Published:	London BioMed Central 19.03.2019 Springer Nature B.V BMC
Subjects:	adults Algorithms Animal Genetics and Genomics Animals Bioinformatics Biomedical and Life Sciences Cell cycle Clustering Computational Biology - methods Computer Graphics Connectivity Danio rerio Data analysis data collection Data processing Datasets Embryo, Nonmammalian - cytology Embryo, Nonmammalian - metabolism Evolutionary Biology Gene expression Gene Expression Regulation, Developmental genome Graphs Hematopoietic Stem Cells - cytology Hematopoietic Stem Cells - metabolism High-Throughput Nucleotide Sequencing - methods Human Genetics Humans Life Sciences Method Microbial Genetics and Genomics Neighborhoods Neural networks Planarians - cytology Planarians - genetics Plant Genetics and Genomics Reference Standards Ribonucleic acid RNA sequence analysis Sequence Analysis, RNA - methods Single-Cell Analysis - methods Software topology Zebrafish - growth & development Zebrafish - metabolism
ISSN:	1474-760X, 1474-7596, 1474-760X
Online Access:	Get full text
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