Mutation Detection in Genes Sequence Using Machine Learning
- Resource Type
- Conference
- Authors
- Shehryar, Syed Muhammad; Shahid, Muhammad Ammar; Shah, Asghar Ali
- Source
- 2021 International Conference on Innovative Computing (ICIC) Innovative Computing (ICIC), 2021 International Conference on. :1-7 Nov, 2021
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Support vector machines
Deep learning
Analytical models
Computational modeling
Genetics
Feature extraction
Mathematical models
cancer
mutation
genes sequence
- Language
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 genes sequence which may help in diagnosing the cancer at early stages. The aim of this system is to detect the mutation in gene sequences whether it is mutated or not. To detect mutation in gene sequences, several techniques and models of machine learning has been considered such as SVM, Logistic Regression and Linear Discriminant Analysis to achieve better accuracy.