Raman spectroscopy utilizing fisher-based feature selection combined with support vector machines for the characterization of breast cell lines

Journal of Raman Spectroscopy

Volumn 44, Issue 7, 2013, Pages 939-948

  Fenn, Michael B ^a,b   Pappu, Vijay ^a,b   Georgeiv, Pando G ^a,b   Pardalos, Panos M ^a,b  

^a University of Florida   (United States)

^b UNIVERSITY OF FLORIDA   (United States)

Author keywords

breast cancer; data mining; Fisher criterion; Raman spectroscopy; Support Vector Machines

Indexed keywords

BIOMARKERS; CELL CULTURE; CELLS; CLASSIFICATION (OF INFORMATION); CLUSTER ANALYSIS; DATA MINING; DISEASES; FEATURE SELECTION; RAMAN SPECTROSCOPY; SPECTRUM ANALYSIS;

BIOLOGICAL ANALYSIS; BREAST CANCER; CELL LINES; COMPLEX SPECTRUM; FEATURE SPACE; FEATURES SELECTION; FISHER CRITERION; MASSIVE DATA SETS; OVERFITTING; SUPPORT VECTORS MACHINE;

SUPPORT VECTOR MACHINES;

EID: 84880046706     PISSN: 03770486     EISSN: 10974555     Source Type: Journal    
DOI: 10.1002/jrs.4309     Document Type: Article

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