Support Vector Machine – Recursive Feature Elimination for feature selection on multi-omics lung cancer data

• Main Authors: Azman, Nuraina Syaza, A. Samah, Azurah, Lin, Ji Tong, Abdul Majid, Hairudin, Ali Shah, Zuraini, Nies, Hui Wen, Chan, Weng Howe
• Format: Article
• Language: English
• Published: HH Publisher 2023
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/106549/1/AzurahASamah2023_SupportVectorMachineRecursiveFeature.pdf; http://eprints.utm.my/106549/; http://dx.doi.org/10.36877/pmmb.a0000327

Biological data obtained from sequencing technologies is growing exponentially. Multi-omics data is one of the biological data that exhibits high dimensionality, or more commonly known as the curse of dimensionality. The curse of dimensionality occurs when the dataset contains many features or attri...