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Pathological Hand Tremor Measurement—Challenges and Advances Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Review on the Usage of Swarm Intelligence in Gene Expression Data

Authors : Nurhawani Ahmad Zamri, Bhuvaneswari Thangavel, Nor Azlina Ab Aziz, Nor Hidayati Abdul Aziz

Published in: 2nd International Conference for Innovation in Biomedical Engineering and Life Sciences

Publisher: Springer Singapore

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Abstract

This paper presents a review of the recent usage of swarm intelligence for optimizing feature selection in microarray data focusing on its application for cancer detection and classification. The feature selection technique is used in the analysis of microarray so that only useful data is trained for further analysis and prediction. The process of feature selection would affect the effectiveness of the classification. This is due to the enormous quantity of genes being expressed at the same time. An optimized feature selection would ensure a high accuracy of classification. Swarm intelligence has been effective in solving feature selection and classification problems. This paper also gives overview on the sources of microarray data which are used in the literature.

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Metadata
Title
Review on the Usage of Swarm Intelligence in Gene Expression Data
Authors
Nurhawani Ahmad Zamri
Bhuvaneswari Thangavel
Nor Azlina Ab Aziz
Nor Hidayati Abdul Aziz
Copyright Year
2018
Publisher
Springer Singapore
Book
2nd International Conference for Innovation in Biomedical Engineering and Life Sciences

Print ISBN: 978-981-10-7553-7

Electronic ISBN: 978-981-10-7554-4

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-7554-4_27