A fast fixed-point algorithm for independent component analysis
Neural Computation
Machine Learning - Special issue on learning with probabilistic representations
An introduction to variable and feature selection
The Journal of Machine Learning Research
A decision tree-based attribute weighting filter for naive Bayes
Knowledge-Based Systems
A switchable scheme for ECG beat classification based on independent component analysis
Expert Systems with Applications: An International Journal
Two-stage classification methods for microarray data
Expert Systems with Applications: An International Journal
Integration of independent component analysis and neural networks for ECG beat classification
Expert Systems with Applications: An International Journal
Extended Naive Bayes classifier for mixed data
Expert Systems with Applications: An International Journal
International Journal of Computer Mathematics - Bioinformatics
Selection of significant independent components for ECG beat classification
Expert Systems with Applications: An International Journal
Cluster analysis of genome-wide expression data for feature extraction
Expert Systems with Applications: An International Journal
Feature selection for text classification with Naïve Bayes
Expert Systems with Applications: An International Journal
A comparative study of PCA, ICA and class-conditional ICA for Naïve Bayes classifier
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Bayesian Classification of Cork Stoppers Using Class-Conditional Independent Component Analysis
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Partition-conditional ICA for Bayesian classification of microarray data
Expert Systems with Applications: An International Journal
An efficient statistical feature selection approach for classification of gene expression data
Journal of Biomedical Informatics
Expert Systems with Applications: An International Journal
Intelligent Naïve Bayes-based approaches for Web proxy caching
Knowledge-Based Systems
Expert Systems with Applications: An International Journal
A heuristic biomarker selection approach based on professional tennis player ranking strategy
Computer Methods and Programs in Biomedicine
Hi-index | 12.06 |
Accurate classification of microarray data plays a vital role in cancer prediction and diagnosis. Previous studies have demonstrated the usefulness of naive Bayes classifier in solving various classification problems. In microarray data analysis, however, the conditional independence assumption embedded in the classifier itself and the characteristics of microarray data, e.g. the extremely high dimensionality, may severely affect the classification performance of naive Bayes classifier. This paper presents a sequential feature extraction approach for naive Bayes classification of microarray data. The proposed approach consists of feature selection by stepwise regression and feature transformation by class-conditional independent component analysis. Experimental results on five microarray datasets demonstrate the effectiveness of the proposed approach in improving the performance of naive Bayes classifier in microarray data analysis.