Mutation Detection in Genes Sequence using Machine Learning

Abstract

Cancer has been identified as a serious genetic disorder which cause numerous deaths every year. Late diagnosis of cancer is one of the major cause of deaths. Mutation is the disturbance in gene sequence and mutated genes are crucial for cancer growth. This study develops a machine learning model for the solution of mutation detection problem in BRCA! gene sequence which may help in diagnosing the breast cancer at early stages. This system detects the mutation in gene sequences whether it is mutated or not. To detect mutation in gene sequence, several techniques and models of machine learning has been considered such as SVM, Logistic Regression and Linear Discriminant Analysis to achieve better accuracy