Reversed graph embedding resolves complex single-cell trajectories

Nature Methods

Volumn 14, Issue 10, 2017, Pages 979-982

  Qiu, Xiaojie ^a   Mao, Qi ^b   Tang, Ying ^c   Wang, Li ^d   Chawla, Raghav ^a   Pliner, Hannah A ^a   Trapnell, Cole ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

^b A Nokia Company   (United States)

^c SHANGHAI JIAO TONG UNIVERSITY   (China)

^d UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

TRANSCRIPTION FACTOR; TRANSCRIPTOME;

ALGORITHM; ANIMAL CELL; ARTICLE; BLOOD CELL; CELL DIFFERENTIATION; CELL FATE; CELL LINEAGE; CONTROLLED STUDY; EMBEDDING; GENE CONTROL; GENE MUTATION; HUMAN; HUMAN CELL; MYOBLAST; NONHUMAN; PRIORITY JOURNAL; SINGLE CELL ANALYSIS; ANIMAL; BIOLOGICAL MODEL; COMPUTER SIMULATION; GENE EXPRESSION REGULATION; GENETICS; METABOLISM; MUTATION; PHYSIOLOGY;

ALGORITHMS; ANIMALS; CELL DIFFERENTIATION; COMPUTER SIMULATION; GENE EXPRESSION REGULATION, DEVELOPMENTAL; MODELS, BIOLOGICAL; MUTATION; TRANSCRIPTION FACTORS; TRANSCRIPTOME;

EID: 85031017685     PISSN: 15487091     EISSN: 15487105     Source Type: Journal    
DOI: 10.1038/nmeth.4402     Document Type: Article

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