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Identifying Non-Redundant Gene Markers from Microarray Data: A Multiobjective Variable Length PSO-Based Approach

contributor authorMukhopadhyay, Amit
contributor authorMandal, Mrinal
date accessioned2020-03-13T00:02:58Z
date available2020-03-13T00:02:58Z
date issued2014
identifier issn1545-5963
identifier other6814315.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1132550?show=full
formatgeneral
languageEnglish
publisherIEEE
titleIdentifying Non-Redundant Gene Markers from Microarray Data: A Multiobjective Variable Length PSO-Based Approach
typeJournal Paper
contenttypeMetadata Only
identifier padid8313551
subject keywordsPareto optimisation
subject keywordsbioinformatics
subject keywordscancer
subject keywordsgenetics
subject keywordsparticle swarm optimisation
subject keywordspattern classification
subject keywordscancer diagnostic prediction
subject keywordsclassification
subject keywordsdisease progression
subject keywordsdisease risk
subject keywordsdisease susceptibility
subject keywordsexpression level
subject keywordsgene expression profiling
subject keywordsmicroarray data set
subject keywordsmicroarray technology
subject keywordsmultiobjective optimization method
subject keywordsmultiobjective variable length PSO-based approach
subject keywordsnonredundant gene markers identification
subject keywordsreal-life data sets
subject keywordsstate-of-the-art techniques
subject keywordsvariable length par
identifier doi10.1109/TCBB.2014.2323065
journal titleComputational Biology and Bioinformatics, IEEE/ACM Transactions on
journal volume11
journal issue6
filesize647910
citations0


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