Identifying Non-Redundant Gene Markers from Microarray Data: A Multiobjective Variable Length PSO-Based Approach
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: 2014شناسه الکترونیک: 10.1109/TCBB.2014.2323065
کلیدواژه(گان): Pareto optimisation,bioinformatics,cancer,genetics,particle swarm optimisation,pattern classification,cancer diagnostic prediction,classification,disease progression,disease risk,disease susceptibility,expression level,gene expression profiling,microarray data set,microarray technology,multiobjective optimization method,multiobjective variable length PSO-based approach,nonredundant gene markers identification,real-life data sets,state-of-the-art techniques,variable length par
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Identifying Non-Redundant Gene Markers from Microarray Data: A Multiobjective Variable Length PSO-Based Approach
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contributor author | Mukhopadhyay, Amit | |
contributor author | Mandal, Mrinal | |
date accessioned | 2020-03-13T00:02:58Z | |
date available | 2020-03-13T00:02:58Z | |
date issued | 2014 | |
identifier issn | 1545-5963 | |
identifier other | 6814315.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1132550 | |
format | general | |
language | English | |
publisher | IEEE | |
title | Identifying Non-Redundant Gene Markers from Microarray Data: A Multiobjective Variable Length PSO-Based Approach | |
type | Journal Paper | |
contenttype | Metadata Only | |
identifier padid | 8313551 | |
subject keywords | Pareto optimisation | |
subject keywords | bioinformatics | |
subject keywords | cancer | |
subject keywords | genetics | |
subject keywords | particle swarm optimisation | |
subject keywords | pattern classification | |
subject keywords | cancer diagnostic prediction | |
subject keywords | classification | |
subject keywords | disease progression | |
subject keywords | disease risk | |
subject keywords | disease susceptibility | |
subject keywords | expression level | |
subject keywords | gene expression profiling | |
subject keywords | microarray data set | |
subject keywords | microarray technology | |
subject keywords | multiobjective optimization method | |
subject keywords | multiobjective variable length PSO-based approach | |
subject keywords | nonredundant gene markers identification | |
subject keywords | real-life data sets | |
subject keywords | state-of-the-art techniques | |
subject keywords | variable length par | |
identifier doi | 10.1109/TCBB.2014.2323065 | |
journal title | Computational Biology and Bioinformatics, IEEE/ACM Transactions on | |
journal volume | 11 | |
journal issue | 6 | |
filesize | 647910 | |
citations | 0 |