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BMCBI
2007
194views more  BMCBI 2007»
13 years 10 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
KDD
2001
ACM
128views Data Mining» more  KDD 2001»
14 years 10 months ago
Data filtering for automatic classification of rocks from reflectance spectra
Jonathan Moody, Ricardo Bezerra de Andrade e Silva...
PAKDD
2009
ACM
89views Data Mining» more  PAKDD 2009»
14 years 2 months ago
Interval Data Classification under Partial Information: A Chance-Constraint Approach
Sahely Bhadra, J. Saketha Nath, Aharon Ben-Tal, Ch...
BMCBI
2008
128views more  BMCBI 2008»
13 years 10 months ago
Improving the prediction accuracy in classification using the combined data sets by ranks of gene expressions
Background: The information from different data sets experimented under different conditions may be inconsistent even though they are performed with the same research objectives. ...
Ki-Yeol Kim, Dong Hyuk Ki, Hei-Cheul Jeung, Hyun C...
PR
2006
161views more  PR 2006»
13 years 10 months ago
Incremental wrapper-based gene selection from microarray data for cancer classification
Gene expression microarray is a rapidly maturing technology that provides the opportunity to assay the expression levels of thousands or tens of thousands of genes in a single exp...
Roberto Ruiz Sánchez, José Crist&oac...