immunoClust-An automated analysis pipeline for the identification of immunophenotypic signatures in high-dimensional cytometric datasets

Cytometry Part A

Volumn 87, Issue 7, 2015, Pages 603-615

  Sörensen, Till ^a   Baumgart, Sabine ^b   Durek, Pawel ^b   Grützkau, Andreas ^b   Häupl, Thomas ^a  

^a CHARITÉ UNIVERSITÄTSMEDIZIN BERLIN   (Germany)

^b DEUTSCHES RHEUMA FORSCHUNGSZENTRUM   (Germany)

Author keywords

Iterative model based clustering; Key terms: automated multivariate clustering; Probability based metaclustering; Rare population detection

Indexed keywords

ALGORITHM; BIOLOGY; BLOOD CELL; CLUSTER ANALYSIS; CYTOLOGY; FLOW CYTOMETRY; HUMAN; INFORMATION PROCESSING; MULTIVARIATE ANALYSIS; PROCEDURES;

ALGORITHMS; AUTOMATIC DATA PROCESSING; BLOOD CELLS; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; FLOW CYTOMETRY; HUMANS; MULTIVARIATE ANALYSIS;

EID: 84932194111     PISSN: 15524922     EISSN: 15524930     Source Type: Journal    
DOI: 10.1002/cyto.a.22626     Document Type: Article

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