Fuzzy Rule Based Clustering for Gene Expression Data

2013 ◽  
Author(s):  
M. Sinaee ◽  
E. G. Mansoori
Keyword(s):  
Gene Expression ◽  
Gene Expression Data ◽  
Fuzzy Rule ◽  
Expression Data ◽  
Rule Based

Finding Synergy Networks From Gene Expression Data: A Fuzzy-Rule-Based Approach

2016 ◽  
Vol 24 (6) ◽  
pp. 1488-1499 ◽  
Author(s):  
Kaushik Sarkar ◽  
Prantik Chatterjee ◽  
Nikhil R. Pal
Keyword(s):  
Gene Expression ◽  
Gene Expression Data ◽  
Fuzzy Rule ◽  
Expression Data ◽  
Rule Based ◽  
Rule Based Approach

scholarly journals Boolean Rule Based Classification for Microarray Gene Expression Data

2019 ◽  
Vol 8 (3) ◽  
pp. 5366-5370
Keyword(s):  
Gene Expression ◽  
Gene Expression Data ◽  
Microarray Gene Expression Data ◽  
Complex Task ◽  
Expression Data ◽  
Microarray Technology ◽  
Cancer Treatments ◽  
Microarray Gene Expression ◽  
Rule Based ◽  
Rule Based Classifier

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

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