Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/2301
Title: Classification of Microarray Data Using Kernel Fuzzy Inference System
Authors: Kumar, Mukesh
Rath, S K
Keywords: DNA microarray
kernel fuzzy
kernel trick
inference system
Issue Date: 21-Aug-2014
Publisher: Hindawi Publishing Corporation
Citation: International Scholarly Research Notices Volume 2014, 18 pages.2014,Article ID 769159
Abstract: The DNA microarray classification technique has gained more popularity in both research and practice. In real data analysis, such as microarray data, the dataset contains a huge number of insignificant and irrelevant features that tend to lose useful information. Classes with high relevance and feature sets with high significance are generally referred for the selected features, which determine the samples classification into their respective classes. In this paper, kernel fuzzy inference system (K-FIS) algorithm is applied to classify the microarray data (leukemia) using t-test as a feature selection method. Kernel functions are used to map original data points into a higher-dimensional (possibly infinite-dimensional) feature space defined by a (usually nonlinear) function through a mathematical process called the kernel trick. This paper also presents a comparative study for classification using K-FIS along with support vector machine (SVM) for different set of features (genes). Performance parameters available in the literature such as precision, recall, specificity, F-measure, ROC curve, and accuracy are considered to analyze the efficiency of the classification model. From the proposed approach, it is apparent that K-FIS model obtains similar results when compared with SVM model. This is an indication that the proposed approach relies on kernel function.
URI: http://dx.doi.org/10.1155/2014/769159
http://hdl.handle.net/2080/2301
Appears in Collections:Journal Articles
Journal Articles

Files in This Item:
File Description SizeFormat 
769159.pdf2.25 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.