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BMCBI
2007
194views more  BMCBI 2007»
15 years 2 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
73
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KDD
2001
ACM
128views Data Mining» more  KDD 2001»
16 years 2 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»
15 years 7 months ago
Interval Data Classification under Partial Information: A Chance-Constraint Approach
Sahely Bhadra, J. Saketha Nath, Aharon Ben-Tal, Ch...
136
Voted
BMCBI
2008
128views more  BMCBI 2008»
15 years 2 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»
15 years 2 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...