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» A Model-Free Greedy Gene Selection for Microarray Sample Cla...
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BMCBI
2006
146views more  BMCBI 2006»
13 years 5 months ago
Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE
Background: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease...
Satoshi Niijima, Satoru Kuhara
ISBRA
2007
Springer
13 years 11 months ago
Noise-Based Feature Perturbation as a Selection Method for Microarray Data
Abstract. DNA microarrays can monitor the expression levels of thousands of genes simultaneously, providing the opportunity for the identification of genes that are differentiall...
Li Chen, Dmitry B. Goldgof, Lawrence O. Hall, Stev...
BMCBI
2008
108views more  BMCBI 2008»
13 years 5 months ago
Signature Evaluation Tool (SET): a Java-based tool to evaluate and visualize the sample discrimination abilities of gene express
Background: The identification of specific gene expression signature for distinguishing sample groups is a dominant field in cancer research. Although a number of tools have been ...
Chih-Hung Jen, Tsun-Po Yang, Chien-Yi Tung, Shu-Ha...
BMCBI
2008
167views more  BMCBI 2008»
13 years 5 months ago
Expression profiles of switch-like genes accurately classify tissue and infectious disease phenotypes in model-based classificat
Background: Large-scale compilation of gene expression microarray datasets across diverse biological phenotypes provided a means of gathering a priori knowledge in the form of ide...
Michael Gormley, Aydin Tozeren
CIBCB
2006
IEEE
13 years 7 months ago
A New Hybrid Approach for Unsupervised Gene Selection
In recent years, unsupervised gene (feature) selection has become an integral part of microarray analysis because of the large number of genes and complexity in biological systems....
Young Bun Kim, Jean Gao