Open AccessBoolean Rule Based Classification for Microarray Gene Expression Data
Author(s) -
R.Vengatesh Kumar*,
R. Lawrance
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c6100.098319
Subject(s) - classifier (uml) , computer science , boolean expression , data mining , task (project management) , artificial intelligence , standard boolean model , microarray analysis techniques , machine learning , expression (computer science) , boolean function , circuit minimization for boolean functions , gene , algorithm , gene expression , biology , management , economics , programming language , biochemistry
Microarray technology provides a way to identify the expression level of ten thousands of genes simultaneously. This is useful for prediction and decision for the cancer treatments. To analyze and classify the gene expression data is more complex task. The rule based classifications are used to simplify the task of classifying genes. In this paper, a novel Boolean Rule based Classification (BRC) algorithm has been proposed. The efficient and relevant Boolean rules are assisting in classifying the test data correctly by Boolean Rule based Classifier model. This model is useful for drug designers. The experimental results show that in many cases the Boolean rule based classification yields more accurate results than other classical approaches