Identifying Non-Redundant Gene Markers from Microarray Data: A Multiobjective Variable Length PSO-Based Approach
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: 2014DOI: 10.1109/TCBB.2014.2323065
Keyword(s): 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 |