An Inclusive Study of Several Machine Learning Techniques
Abstract
B-cell epitope prediction is the first relevant step of data analysis in various medical applications. To this aim, efficient predictions of B-cell epitope become a significant issue. Researchers have devoted great efforts to B-cell epitope prediction techniques by using machine learning techniques in the past decade. The main objective of this paper is to provide a structured outline of some well-known B-cell epitope prediction techniques. Finally, this paper has described the various issues and challenges of B-cell epitope prediction techniques, which require being further studied.