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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Bibliographic Details
Main Authors: Hameed, Shilan S., Petinrin, Olutomilayo Olayemi, Hashi, Abdirahman Osman, Saeed, Faisal
Format: Article
Language:English
Published: International Center for Scientific Research and Studies 2018
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