Oscope identifies oscillatory genes in unsynchronized single-cell RNA-seq experiments

Nature Methods

Volumn 12, Issue 10, 2015, Pages 947-950

  Leng, Ning ^a,b   Chu, Li Fang ^b   Barry, Chris ^b   Li, Yuan ^a   Choi, Jeea ^a   Li, Xiaomao ^a   Jiang, Peng ^b   Stewart, Ron M ^b   Thomson, James A ^b,c,d   Kendziorski, Christina ^c  

^a University of Wisconsin   (United States)

^b MORGRIDGE INSTITUTE FOR RESEARCH   (United States)

^c UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CELL POPULATION; CONTROLLED STUDY; FLUORESCENCE ACTIVATED CELL SORTING; GENE; GENE CLUSTER; GENE EXPRESSION; GENETIC PROCEDURES; HUMAN; HUMAN CELL; HUMAN EMBRYONIC STEM CELL; OSCILLATION; OSCILLATORY GENE; OSCOPE; PRIORITY JOURNAL; RNA SEQUENCE; SINGLE CELL ANALYSIS; STATISTICAL ANALYSIS; ALGORITHM; ANALYSIS OF VARIANCE; BIOLOGICAL MODEL; EMBRYONIC STEM CELL; GENE EXPRESSION PROFILING; PHYSIOLOGY; PROCEDURES; REAL TIME POLYMERASE CHAIN REACTION; SEQUENCE ANALYSIS; SOFTWARE; STATISTICS AND NUMERICAL DATA;

ALGORITHMS; ANALYSIS OF VARIANCE; DATA INTERPRETATION, STATISTICAL; EMBRYONIC STEM CELLS; GENE EXPRESSION PROFILING; HUMANS; MODELS, GENETIC; REAL-TIME POLYMERASE CHAIN REACTION; SEQUENCE ANALYSIS, RNA; SINGLE-CELL ANALYSIS; SOFTWARE;

EID: 84959122613     PISSN: 15487091     EISSN: 15487105     Source Type: Journal    
DOI: 10.1038/nmeth.3549     Document Type: Article

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