@inproceedings{edc48cfe079647dfbd1063d7963e56fc,
title = "Hybrid intelligent methods for microarray data analysis",
abstract = "Data produced out of microarray experiments are of great use for the physician when it is presented in a meaningful manner. This paper proposes hybrid intelligent methods for addressing the challenges in analyzing the microarray data. The concept of fuzzy and rough set is hybridized with FInformation (FRFI) for gene selection. An optimal fuzzy logic based classifier (FLC) is developed for sample classification using a hybrid Genetic Swarm Algorithm (GSA). Detailed experiments are conducted using microarray data related to Cancer and Rheumatoid Arthritis. From the simulation study, it is found that the proposed FRFI-FLC-GSA produces compact classification system with reasonably good informative genes that can be used for disease diagnosis.",
keywords = "FInformation, Fuzzy-Rough Set, Genetic Swarm Algorithm, Microarray data",
author = "Ganeshkumar Pugalendhi and Kim, {Ku Jin}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 15th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2015 ; Conference date: 02-11-2015 Through 04-11-2015",
year = "2015",
month = dec,
day = "28",
doi = "10.1109/BIBE.2015.7367704",
language = "English",
series = "2015 IEEE 15th International Conference on Bioinformatics and Bioengineering, BIBE 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2015 IEEE 15th International Conference on Bioinformatics and Bioengineering, BIBE 2015",
address = "United States",
}
