A review on recent progress in machine learning and deep learning methods for cancer classification on gene expression data

• Main Authors: Mazlan, A. U., Sahabudin, N. A., Remli, M. A., Ismail, N. S. N., Mohamad, M. S., Nies, H. W., Warif, N. B. A.
• Format: Article
• Language: English
• Published: MDPI AG 2021
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/94998/1/AinaUmairahMazlan2021_AReviewonRecentProgress.pdf; http://eprints.utm.my/id/eprint/94998/; http://dx.doi.org/10.3390/pr9081466

Data-driven model with predictive ability are important to be used in medical and healthcare. However, the most challenging task in predictive modeling is to construct a prediction model, which can be addressed using machine learning (ML) methods. The methods are used to learn and trained the model...