Advancements within Modern Machine Learning Methodology: Impacts and Prospects in Biomarker Discovery.
Journal:
Current medicinal chemistry
Published Date:
Jan 1, 2021
Abstract
BACKGROUND: The adoption of biomarkers as part of high-throughput, complex microarray or sequencing data has necessitated the discovery and validation of these data through machine learning. Machine learning has remained a fundamental and indispensable tool due to its efficacy and efficiency in both feature extraction of relevant biomarkers as well as the classification of samples as validation of the discovered biomarkers.