Classification of Genetic Mutation using Machine Learning


Authors : Karan A. Solanki, Sonali A. Shinde, Anish N. Shelte

Volume/Issue : Volume 5 - 2020, Issue 4 - April

Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/2WRjN8o

Genes are pieces of DNA (deoxyribonucleic acid) inside our cells that tell the cell how to make the proteins the body needs to function. DNA is the genetic “blueprint” in each cell. Genes are inherited from a parent to a child, such as hair color, eye color, and height. They can also affect whether a person is likely to develop some certain diseases, such as cancer. Changes in genes is called as mutations, that play an important role in the development of cancer. Certain mutations can cause cells to grow out of control, which can lead to a cancer. Most cancers start due to this acquired gene mutations that happens during a person’s lifetime. Sometimes these gene changes have an outside cause or such as exposure to sun-light or tobacco

Keywords : Data Analysis, Variation, Mutation, Machine Learning, Feature Extraction, Feature Selection, classification. Genetic Testing, Natural Language Programming.

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