A two stage grading approach for feature selection and classification of microarray data using Pareto based feature ranking techniques: A case study
High dimensional search space in microarray data with large number of genes and few dozen of samples increases the complexity of analysis of such databases. All the genes are not significant and hence informative genes are required to be extracted. So dimension reduction is necessary for this proces...
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| Format: | Article |
| Language: | English |
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Elsevier
2020-02-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157817301581 |