Filter-wrapper combination and embedded feature selection for gene expression data
Biomedical and bioinformatics datasets are generally large in terms of their number of features - and include redundant and irrelevant features, which affect the effectiveness and efficiency of classification of these datasets. Several different features selection methods have been utilised in vario...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
International Center for Scientific Research and Studies
2018
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/85805/1/FaisalAbdulkaremQasem2018_Filter-WrapperCombinationandEmbeddedFeatureSelection.pdf http://eprints.utm.my/id/eprint/85805/ |
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Institution: | Universiti Teknologi Malaysia |
Language: | English |