A comparison of single-cell trajectory inference methods

Nature Biotechnology

Volumn 37, Issue 5, 2019, Pages 547-554

  Saelens, Wouter ^a,b   Cannoodt, Robrecht ^a,b,c   Todorov, Helena ^a,b,d   Saeys, Yvan ^a,b  

^a DEPARTMENT OF PLANT SYSTEMS BIOLOGY   (Belgium)

^b GHENT UNIVERSITY   (Belgium)

^c GHENT UNIVERSITY HOSPITAL   (Belgium)

^d UNIVERSITÉ LYON 1   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CELLS; CYTOLOGY; LARGE DATASET; TOPOLOGY;

INFERENCE METHODS; INFERENCE TOOLS; SINGLE CELLS; SYNTHETIC DATASETS;

TRAJECTORIES;

ARTICLE; PIPELINE; BENCHMARKING; BIOLOGY; GENETICS; GENOME; HIGH THROUGHPUT SEQUENCING; PROCEDURES; SINGLE CELL ANALYSIS; TRENDS;

BENCHMARKING; COMPUTATIONAL BIOLOGY; GENOME; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; SINGLE-CELL ANALYSIS;

EID: 85063785657     PISSN: 10870156     EISSN: 15461696     Source Type: Journal    
DOI: 10.1038/s41587-019-0071-9     Document Type: Article

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