Sparse representation via ℓ 1-minimization for underdetermined systems in classification of tumors with gene expression data

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 3362-3366

  Sanchez, R ^a   Argaez, M ^a   Guillen, P ^a,b  

^a UNIVERSITY OF TEXAS AT EL PASO   (United States)

^b UNIVERSIDAD DE LOS ANDES   (Venezuela)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM DEVELOPMENT; CANCER DIAGNOSIS; CLASSIFICATION ALGORITHM; DNA MICROARRAY DATA; GENE EXPRESSION DATA; GENE EXPRESSION DATASETS; INPUT DATAS; MINIMIZATION ALGORITHMS; MODEL SELECTION; NUMERICAL RESULTS; SPARSE REPRESENTATION; SPARSE SIGNALS; SUPPORT VECTOR MACHINE METHOD;

ALGORITHMS; BIOINFORMATICS; DISEASES; MODELS; PATTERN RECOGNITION; RELAXATION PROCESSES; SUPPORT VECTOR MACHINES; TUMORS;

GENE EXPRESSION;

ALGORITHM; ARTICLE; GENE EXPRESSION; GENETICS; HUMAN; NEOPLASM; SUPPORT VECTOR MACHINE;

ALGORITHMS; GENE EXPRESSION; HUMANS; NEOPLASMS; SUPPORT VECTOR MACHINES;

EID: 84862618159     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6090911     Document Type: Conference Paper

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