Machine learning-based receiver operating characteristic (ROC) curves for crisp and fuzzy classification of DNA microarrays in cancer research

International Journal of Approximate Reasoning

Volumn 47, Issue 1, 2008, Pages 17-36

  Peterson, Leif E ^a   Coleman, Matthew A ^b  

^a BAYLOR COLLEGE OF MEDICINE   (United States)

^b LAWRENCE LIVERMORE NATIONAL LABORATORY   (United States)

Author keywords

Area under the curve (AUC); DNA microarrays; Fuzzy classification; Gene expression; Receiver operator characteristic (ROC) curve; Soft computing

Indexed keywords

CLASSIFICATION (OF INFORMATION); DNA SEQUENCES; GENE EXPRESSION; MICROARRAYS; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; SUPPORT VECTOR MACHINES;

CANCER RESEARCH; FUZZIFICATION; PARTICLE SWARM OPTIMIZATION; QUADRATIC DISCRIMINANT ANALYSIS; RECEIVER OPERATOR CHARACTERISTIC;

SOFT COMPUTING;

EID: 36248940832     PISSN: 0888613X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijar.2007.03.006     Document Type: Article

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