NDLI: Parallel multi-swarm optimizer for gene selection in DNA microarrays

Content Provider	Springer Nature Link
Author	García Nieto, José Alba, Enrique
Copyright Year	2011
Abstract	The execution of many computational steps per time unit typical of parallel computers offers an important benefit in reducing the computing time in real world applications. In this work, a parallel Particle Swarm Optimization (PSO) is used for gene selection of high dimensional Microarray datasets. The proposed algorithm, called PMSO, consists of running a set of independent PSOs following an island model, where a migration policy exchanges solutions with a certain frequency. A feature selection mechanism is embedded in each subalgorithm for finding small samples of informative genes amongst thousands of them. PMSO has been experimentally assessed with different population structures on four well-known cancer datasets. The contributions are twofold: our parallel approach is able to improve sequential algorithms in terms of computational time/effort (Efficiency of 85%), as well as in terms of accuracy rate, identifying specific genes that our work suggests as significant ones for an accurate classification.Additional comparisons with several recent state the of art methods also show competitive results with improvements of over 100% in the classification rate and very few genes per subset.
Starting Page	255
Ending Page	266
Page Count	12
File Format	PDF
ISSN	0924669X
Journal	Applied Intelligence
Volume Number	37
Issue Number	2
e-ISSN	15737497
Language	English
Publisher	Springer US
Publisher Date	2011-11-05
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Gene selection Parallel particle swarm optimization DNA microarrays Mechanical Engineering Artificial Intelligence (incl. Robotics) Manufacturing, Machines, Tools
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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