Cell type discovery and representation in the era of high-content single cell phenotyping

BMC Bioinformatics

Volumn 18, Issue , 2017, Pages

  Bakken, Trygve ^a   Cowell, Lindsay ^b   Aevermann, Brian D ^c   Novotny, Mark ^c   Hodge, Rebecca ^a   Miller, Jeremy A ^a   Lee, Alexandra ^c   Chang, Ivan ^c   McCorrison, Jamison ^c   Pulendran, Bali ^d   Qian, Yu ^c   Schork, Nicholas J ^c   Lasken, Roger S ^c   Lein, Ed S ^a   Scheuermann, Richard H ^c,e  

^a ALLEN INSTITUTE FOR BRAIN SCIENCE   (United States)

^b UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER   (United States)

^c J CRAIG VENTER INSTITUTE   (United States)

^d EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Cell ontology; Cell phenotype; Cytometry; Marker genes; Neuron; Next generation sequencing; Open biomedical ontologies; Peripheral blood mononuclear cells; Single cell transcriptomics

Indexed keywords

BIOMARKERS; CYTOLOGY; GENES; LEARNING SYSTEMS; NEURONS; ONTOLOGY; THROUGHPUT;

BIOMEDICAL ONTOLOGIES; CELL PHENOTYPE; CYTOMETRY; MARKER GENES; NEXT-GENERATION SEQUENCING; PERIPHERAL BLOOD MONONUCLEAR CELLS; TRANSCRIPTOMICS;

CELLS;

EID: 85038899097     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/s12859-017-1977-1     Document Type: Article

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