Pattern classification in DNA microarray data of multiple tumor types

Authors:
Tsun-Chen Lin;Ru-Sheng Liu;Chien-Yu Chen;Ya-Ting Chao;Shu-Yuan Chen
Affiliations:
Department of Computer Science and Engineering, Yuan Ze University, 135 Yuan-Tung Rd., Nei-Li, Chung-Li, Taoyuan 32026, Taiwan, ROC;Department of Computer Science and Engineering, Yuan Ze University, 135 Yuan-Tung Rd., Nei-Li, Chung-Li, Taoyuan 32026, Taiwan, ROC;Department of Bio-Industrial Mechatronics Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 106, Taiwan, ROC;Department of Computer Science and Engineering, Yuan Ze University, 135 Yuan-Tung Rd., Nei-Li, Chung-Li, Taoyuan 32026, Taiwan, ROC and Graduate School of Biotechnology and Bioinformatics, Yuan Ze ...;Department of Computer Science and Engineering, Yuan Ze University, 135 Yuan-Tung Rd., Nei-Li, Chung-Li, Taoyuan 32026, Taiwan, ROC
Venue:
Pattern Recognition
Year:
2006

Citing 4
Cited 7

Class prediction and discovery using gene expression data

RECOMB '00 Proceedings of the fourth annual international conference on Computational molecular biology
A comparative study of feature selection and multiclass classification methods for tissue classification based on gene expression

Bioinformatics
A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis

Bioinformatics
Multiclass cancer classification and biomarker discovery using GA-based algorithms

Bioinformatics

Detecting reliable gene interactions by a hierarchy of Bayesian network classifiers

Computer Methods and Programs in Biomedicine
A GP Based Approach to the Classification of Multiclass Microarray Datasets

ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Improved wavelet neural network for early diagnosis of cancer patients using microarray gene expression data

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
The theoretic framework of local weighted approximation for microarray missing value estimation

Pattern Recognition
Iterative bicluster-based least square framework for estimation of missing values in microarray gene expression data

Pattern Recognition
Review article: Computational intelligence techniques in bioinformatics

Computational Biology and Chemistry
MaskedPainter: Feature selection for microarray data analysis

Intelligent Data Analysis

Quantified Score

Hi-index	0.01

Visualization

Abstract

In this paper, we propose a genetic algorithm with silhouette statistics as discriminant function (GASS) for gene selection and pattern recognition. The proposed method evaluates gene expression patterns for discriminating heterogeneous cancers. Distance metrics and classification rules have also been analyzed to design a GASS with high classification accuracy. Moreover, the proposed method is compared to previously published methods. Various experimental results show that our method is effective for classifying the NCI60, the GCM and the SRBCTs datasets. Moreover, GASS outperforms other existing methods in both the leave-one-out cross validations and the independent test for novel data.