Robust Feature Selection from Microarray Data Based on Cooperative Game Theory and Qualitative Mutual Information

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Robust Feature Selection from Microarray Data Based on Cooperative Game Theory and Qualitative Mutual Information is …
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scholarly articleQ13442814

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P8978DBLP publication IDjournals/abi/MortazaviM16
P356DOI10.1155/2016/1058305
P932PMC publication ID4818815
P698PubMed publication ID27127506
P5875ResearchGate publication ID299286794

P2093author name stringMohammad Hossein Moattar
Atiyeh Mortazavi
P2860cites workRobust and stable feature selection by integrating ranking methods and wrapper technique in genetic data classificationQ30783558
Robust Feature Selection for Microarray Data Based on Multicriterion FusionQ33897663
A top-r feature selection algorithm for microarray gene expression dataQ34074659
Feature selection with neighborhood entropy-based cooperative game theoryQ34151944
Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancyQ34445269
Genetic Bee Colony (GBC) algorithm: A new gene selection method for microarray cancer classificationQ50930414
Feature selection via coalitional game theoryQ51913982
Statistical pattern recognition: a reviewQ56115964
Gene Selection for Cancer Classification using Support Vector MachinesQ56535529
Estimating attributes: Analysis and extensions of RELIEFQ56689294
Wrappers for feature subset selectionQ56689295
A review of microarray datasets and applied feature selection methodsQ58036690
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P921main subjectgame theoryQ44455
feature selectionQ446488
P304page(s)1058305
P577publication date2016-03-20
P1433published inAdvances in BioinformaticsQ26842273
P1476titleRobust Feature Selection from Microarray Data Based on Cooperative Game Theory and Qualitative Mutual Information
P478volume2016

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