Feature selection and classification of high dimensional mass spectrometry data: A genetic programming approach

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7833 LNCS, Issue , 2013, Pages 43-55

  Ahmed, Soha ^a   Zhang, Mengjie ^a   Peng, Lifeng ^a  

^a VICTORIA UNIVERSITY OF WELLINGTON   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC FEATURE SELECTION; CLASSIFICATION ACCURACY; CLASSIFICATION PERFORMANCE; FEATURE SELECTION AND CLASSIFICATION; FEATURE SELECTION METHODS; FEATURE SELECTION METRICS; MASS SPECTROMETRY DATA; SUPPORT VECTOR MACHINE (SVMS);

BIOINFORMATICS; DATA MINING; DECISION TREES; EXPERIMENTS; GENETIC PROGRAMMING; MASS SPECTROMETRY; SUPPORT VECTOR MACHINES;

CLASSIFICATION (OF INFORMATION);

EID: 84875122317     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-37189-9_5     Document Type: Conference Paper

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