Comparative analysis of deep learning algorithm for cancer classification using multi-omics feature selection

• Main Authors: Azmi, Nur Sabrina, A. Samah, Azurah, Sirgunan, Vivekaanan, Ali Shah, Zuraini, Abdul Majid, Hairudin, Chan, Weng Howe, Nies, Hui Wen, Azman, Nuraina Syaza
• Format: Article
• Language: English
• Published: HH Publisher 2022
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/98699/1/NurSabrinaAzmi2022_ComparativeAnalysisofDeepLearning.pdf; http://eprints.utm.my/id/eprint/98699/; http://dx.doi.org/10.36877/pmmb.a0000278

Advancement of high-throughput technologies in omics studies had produced large amount of information that enables integrated analysis of complex diseases. Complex diseases such as cancer are often caused by a series of interactions that involve multiple biological mechanisms. Integration of multi-o...