Estimating attributes: analysis and extensions of RELIEF
ECML-94 Proceedings of the European conference on machine learning on Machine Learning
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Feature selection for high-dimensional genomic microarray data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Data mining in bioinformatics using Weka
Bioinformatics
Filter versus wrapper gene selection approaches in DNA microarray domains
Artificial Intelligence in Medicine
Selecting differentially expressed genes using minimum probability of classification error
Journal of Biomedical Informatics
Applying genetic algorithms and support vector machines to the gene selection problem
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - VIII Brazilian Symposium on Neural Networks
Detecting reliable gene interactions by a hierarchy of Bayesian network classifiers
Computer Methods and Programs in Biomedicine
International Journal of Computer Mathematics - Bioinformatics
Wrapper filtering criteria via linear neuron and kernel approaches
Computers in Biology and Medicine
Biological pathways as features for microarray data classification
Proceedings of the 2nd international workshop on Data and text mining in bioinformatics
International Journal of Bioinformatics Research and Applications
Exploiting scale-free information from expression data for cancer classification
Computational Biology and Chemistry
Computational Intelligence Methods for Discovering Diagnostic Gene Targets about aGVHD
Proceedings of the 2009 conference on Neural Nets WIRN09: Proceedings of the 19th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno, Italy, May 28--30 2009
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
A Multiple-Filter-Multiple-Wrapper Approach to Gene Selection and Microarray Data Classification
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
A support vector machine ensemble for cancer classification using gene expression data
ISBRA'07 Proceedings of the 3rd international conference on Bioinformatics research and applications
Efficient gene selection with rough sets from gene expression data
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
Expectation Propagation for microarray data classification
Pattern Recognition Letters
Gene selection and cancer classification: a rough sets based approach
Transactions on rough sets XII
Local modeling classifier for microarray gene-expression data
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
A hybrid feature selection method for DNA microarray data
Computers in Biology and Medicine
Improving vector space embedding of graphs through feature selection algorithms
Pattern Recognition
RFCMAC: A novel reduced localized neuro-fuzzy system approach to knowledge extraction
Expert Systems with Applications: An International Journal
Gene selection and classification using Taguchi chaotic binary particle swarm optimization
Expert Systems with Applications: An International Journal
TC-VGC: A Tumor Classification System using Variations in Genes' Correlation
Computer Methods and Programs in Biomedicine
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
Cancer classification by kernel principal component self-regression
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Merge method for shape-based clustering in time series microarray analysis
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
Discriminative prototype selection methods for graph embedding
Pattern Recognition
Identification of micro RNA biomarkers for cancer by combining multiple feature selection techniques
Journal of Computational Methods in Sciences and Engineering
Computers in Biology and Medicine
Simultaneous sample and gene selection using t-score and approximate support vectors
PRIB'13 Proceedings of the 8th IAPR international conference on Pattern Recognition in Bioinformatics
Computers in Biology and Medicine
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A DNA microarray can track the expression levels of thousands of genes simultaneously. Previous research has demonstrated that this technology can be useful in the classification of cancers. Cancer microarray data normally contains a small number of samples which have a large number of gene expression levels as features. To select relevant genes involved in different types of cancer remains a challenge. In order to extract useful gene information from cancer microarray data and reduce dimensionality, feature selection algorithms were systematically investigated in this study. Using a correlation-based feature selector combined with machine learning algorithms such as decision trees, nave Bayes and support vector machines, we show that classification performance at least as good as published results can be obtained on acute leukemia and diffuse large B-cell lymphoma microarray data sets. We also demonstrate that a combined use of different classification and feature selection approaches makes it possible to select relevant genes with high confidence. This is also the first paper which discusses both computational and biological evidence for the involvement of zyxin in leukaemogenesis.