Identification of anticancer peptides based on Random Relevance Vector Machines

Cancer is the most threat to human's health and life. At present, people have developed several ways to against cancer, such as surgical operation, radiotherapy and chemotherapy. However, cancers still cause highly mortality rate. A main part of the reason is that the traditional methods bring treatment effect as well as the negative effect. Recently, the anticancer peptides (ACPs) have been discovered which can be a new way to treat cancer. Since ACPs are natural biologics, they are safer than other methods. However, the experimental technology is an expensive way to find ACPs so we purpose a new machine learning method to identify the ACPs which named Random Relevance Vector Machines (RRVMs). The cross validations experiments show the high accuracy and stability of this new method.