Please use this identifier to cite or link to this item: http://localhost:80/xmlui/handle/123456789/5962
Title: Selection of Relevant Genes for Pediatric Leukemia using Co-Operative Multiswarm
Other Titles: (In) Materialstoday Proceedings
Authors: Agarwalla, Prativa
Mukhopadhyay, Sumitra
Keywords: DNA Microarray
Particle Swarm Optimization(PSO)
ClusteringPediatric Leukemia
Euclidean Distance
Issue Date: 2016
Publisher: Research Gate
Series/Report no.: Vol: 3;No : 10 (Part : A)
Abstract: DNA microarray has gained an increasing popularity for the experimental study of gene-expression for cancer detection. The selection of relevant genes is very important for medical diagnosis as well as to understand how a genome as a whole works for a particular disease. We have proposed a Co-operative Multiswarm Particle Swam Optimization (CMPSO) based technique to find co-regulated gene groups associated with cancer sample categories. The proposed CMPSO is applied to pediatric leukemia dataset and the result is compared with conventional techniques. Proposed multiswarm based technique generates more precise groups of genes which provide important contribution for pediatric leukemia detection.
URI: http://172.16.0.4:8085/heritage/handle/123456789/5962
Appears in Collections:Applied Electronics and Instrumentation Engineering (Publications )



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.