Feature set enhancement via hierarchical clustering for microarray classification

Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics

Volumn , Issue , 2011, Pages 226-229

  Bosio, Mattia ^a   Pujalte, Pau Bellot ^a   Salembier, Philippe ^a   Oliveras Vergés, Albert ^a  

^a UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

Author keywords

Cancer microarray classification; Feature selection; Hierarchical clustering; Treelet

Indexed keywords

BIOASSAY; DISEASES; FEATURE EXTRACTION; GENE EXPRESSION; SIGNAL PROCESSING;

CANCER MICROARRAY CLASSIFICATIONS; CLASSIFICATION ERROR RATE; CLASSIFICATION RESULTS; GENE EXPRESSION CLASSIFICATION; HIER-ARCHICAL CLUSTERING; MICROARRAY CLASSIFICATION; PREDICTIVE ABILITIES; TREELET;

CLASSIFICATION (OF INFORMATION);

EID: 84863694114     PISSN: 21503001     EISSN: 2150301X     Source Type: Conference Proceeding    
DOI: 10.1109/gensips.2011.6169486     Document Type: Conference Paper

References (11)

1. S. Dudoit and J. Fridlyand, "Classification in microarray experiments,"Statistical analysis of gene expression microarray data, pp. 93-158, 2003.
2. K. Deb and A. Reddy, "Reliable classification of two-class cancer data using evolutionary algorithms," BioSystems, 2003.
3. S. Nakariyakul and D. Casasent, "An improvement on floating search algorithms for feature subset selection," Pattern Recogn., 2009.
4. T. Hastie et al., "Supervised harvesting of expression trees," Genome Biology, vol. 2, no. 1, 2001.
5. A. B. Lee, B. Nadler, and L. Wasserman, "Treelets - an adaptive multiscale basis for sparse unordered data," Annals of Applied Statistics, vol. 2, no. 2, pp. 435-471, 2008.
6. U. Braga-Neto, "Fads and fallacies in the name of small-sample microarray classification - a highlight of misunderstanding and erroneous usage in the applications of genomic signal processing," Signal Processing Magazine, IEEE, vol. 24, no. 1, pp. 91-99, jan. 2007.
7. T. Golub et al., "Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring," Science, 1999.
8. A. Alizadeh et al., "Distinct types of diffuse large b-cell lymphoma identified by gene expression," Nature, 2000.
9. U. Alon et al., "Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays," Proceedings of the National Academy of Sciences, 1999.
10. U. Braga-Neto and E. Dougherty, "Bolstered error estimation," Pattern Recognition, vol. 37], no. 6, pp. 1267-1281, 2004.
11. C. Lai et al., "A comparison of univariate and multivariate gene selection techniques for classification of cancer datasets," BMC Bioinformatics, vol. 7, no. 1, p. 235, 2006.