Machine Learning in Metastatic Cancer Research: Potentials, Possibilities, and Prospects
Published in Computational and Structural Biotechnology Journal, 2023
Recommended citation: Petinrin, O.O., Saeed, F., Toseef, M., Liu, Z., Basurra, S., Muyide, I.O., Li, X., Lin, Q. and Wong, K.C. (2023). "Machine Learning in Metastatic Cancer Research: Potentials, Possibilities, and Prospects". Computational and Structural Biotechnology Journal Vol. 21, 2454-2470. https://doi.org/10.1016/j.csbj.2023.03.046
This is a review paper about the application of machine learning in metastatic cancer research. We considered several aspect of metastatic cancer and how machine learning can be utlized. In addition, gaps in current literature were found, and alternative solutions were proferred.
Recommended citation: Petinrin, O.O., Saeed, F., Toseef, M., Liu, Z., Basurra, S., Muyide, I.O., Li, X., Lin, Q. and Wong, K.C. (2023). “Machine Learning in Metastatic Cancer Research: Potentials, Possibilities, and Prospects”. Computational and Structural Biotechnology Journal Vol. 21, 2454-2470.