Cytometric fingerprinting: Quantitative characterization of multivariate distributions

Cytometry Part A

Volumn 73, Issue 5, 2008, Pages 430-441

  Rogers, Wade T ^a,b,d   Moser, Allan R ^a,b   Holyst, Herbert A ^a,c   Bantly, Andrew ^c   Mohler III, Emile R ^c   Scangas, George ^c   Moore, Jonni S ^c  

^a Cira Discovery Sciences Inc   (United States)

^b HUTZEL HOSPITAL   (United States)

^c UNIVERSITY OF PENNSYLVANIA   (United States)

^d UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Bioinformatics; Computational biology; Cytomics; Empirical modeling; Flow cytometry; Machine learning

Indexed keywords

ALGORITHM; ARTICLE; AUTOMATION; BIOINFORMATICS; CONCENTRATION (PARAMETERS); CONTROLLED STUDY; CYTOMETRIC FINGERPRINTING; CYTOMETRY; FLOW CYTOMETRY; HIGH THROUGHPUT SCREENING; HUMAN; HUMAN CELL; HYPOTHESIS; INSTRUMENTATION; MACHINE LEARNING; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; TECHNOLOGY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL BIOLOGY; DATA INTERPRETATION, STATISTICAL; FLOW CYTOMETRY; HUMANS; LEUKOCYTES, MONONUCLEAR; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; QUALITY CONTROL;

EID: 42949149596     PISSN: 15524922     EISSN: 15524930     Source Type: Journal    
DOI: 10.1002/cyto.a.20545     Document Type: Article

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