Automated mapping of phenotype space with single-cell data

Nature Methods

Volumn 13, Issue 6, 2016, Pages 493-496

  Samusik, Nikolay ^a   Good, Zinaida ^a   Spitzer, Matthew H ^a   Davis, Kara L ^a   Nolan, Garry P ^a  

^a STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ANIMAL CELL; ARTICLE; AUTOMATION; CELL DENSITY; DATA ANALYSIS; MEGAKARYOCYTE ERYTHROID PROGENITOR; MONOCYTE; MOUSE; MYELOID DENDRITIC CELL; MYELOID PROGENITOR CELL; NONHUMAN; PHENOTYPE; PRIORITY JOURNAL; SINGLE CELL ANALYSIS; ANIMAL; AUTOMATED PATTERN RECOGNITION; BONE MARROW CELL; C57BL MOUSE; CLUSTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; CYTOLOGY; IMAGE ENHANCEMENT; MALE; PROCEDURES; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ANIMALS; BONE MARROW CELLS; CLUSTER ANALYSIS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; MICE, INBRED C57BL; PATTERN RECOGNITION, AUTOMATED; SENSITIVITY AND SPECIFICITY; SINGLE-CELL ANALYSIS;

EID: 84968624557     PISSN: 15487091     EISSN: 15487105     Source Type: Journal    
DOI: 10.1038/nmeth.3863     Document Type: Article

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