Paper Info
Title
Microarray Data Classification Using Neuro-Fuzzy Classifier With Firefly Algorithm
Abstract
Neuro-fuzzy is one of the popular tools used in many applications including microarray classification. In this paper, we introduce a neuro-fuzzy with firefly algorithm with its application to microarray classification. Our neuro-fuzzy is able to select good feature sets and generate rule sets as classifier. We compare our results on seven public data sets, i.e., Lung cancer, Ovarian cancer, Prostate cancer, Leukemia (ALL/AML), Breast cancer, Colon cancer, and Diffuse large B-cell lymphoma (DLBCL), with the results from the existing algorithms. We found that our algorithm can provide comparable results with smaller numbers of selected features. However, our algorithm can provide more understandable rule sets to human than other existing algorithms.
Year
Venue
Keywords
2017
2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI)
Microarray data classification, Gene selection, Firefly algorithm, Neuro-fuzzy classifier
Field
DocType
Citations 
Data set,Pattern recognition,Breast cancer,Computer science,Neuro fuzzy classifier,Firefly algorithm,Microarray analysis techniques,Artificial intelligence,Statistical classification,Classifier (linguistics)
Conference
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Panudech Jinthanasatian100.34
S. Auephanwiriyakul224639.45
Nipon Theera-umpon318430.59