Dimension reduction and classifier-based feature selection for oversampled gene expression data and cancer classification

• Main Authors: Petinrin, Olutomilayo Olayemi, Saeed, Faisal, Salim, Naomie, Muhammad Toseef, Muhammad Toseef, Liu, Zhe, Muyide, Ibukun Omotayo
• Format: Article
• Language: English
• Published: MDPI 2023
• Subjects: Q Science (General); QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/106539/1/NaomieSalim2023_DimensionReductionandClassifierBasedFeature.pdf; http://eprints.utm.my/106539/; http://dx.doi.org/10.3390/pr11071940
• Institution: Universiti Teknologi Malaysia

Gene expression data are usually known for having a large number of features. Usually, some of these features are irrelevant and redundant. However, in some cases, all features, despite being numerous, show high importance and contribute to the data analysis. In a similar fashion, gene expression da...