Information preserving component analysis: Data projections for flow cytometry analysis

IEEE Journal on Selected Topics in Signal Processing

Volumn 3, Issue 1, 2009, Pages 148-158

  Carter, Kevin M ^a   Raich, Raviv ^b   Finn, William G ^c   Hero III, Alfred O ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

^b 1148 Kelley Engineering Center Corvallis   (United States)

^c UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

Author keywords

Dimensionality reduction; Flow cytometry; Information geometry; Multivariate data analysis; Statistical manifold

Indexed keywords

FLOW CYTOMETRY; LEARNING ALGORITHMS; LEARNING SYSTEMS; MULTIVARIANT ANALYSIS;

COMPONENT ANALYSIS; DATA ANALYSIS; DATA PROJECTIONS; DATA SETS; DIMENSIONALITY REDUCTION; EXPRESSION PATTERNS; FLOW CYTOMETRY ANALYSIS; FLUORESCENT MARKERS; HEMATOPOIETIC SYSTEMS; HIGH-DIMENSIONAL; INDIVIDUAL CELLS; INFORMATION DISTANCES; INFORMATION GEOMETRY; LINEAR COMBINATIONS; MACHINE-LEARNING TECHNIQUES; MALIGNANT CELLS; MULTIVARIATE DATA ANALYSIS; STATISTICAL MANIFOLD; VARIABLE SELECTIONS;

DATA FLOW ANALYSIS;

EID: 62349119227     PISSN: 19324553     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSTSP.2008.2011112     Document Type: Article

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