Next Generation Sequences for Breast Cancer Prognosis Using Machine Learning Techniques

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Babymol Kurian

Next Generation Sequences for Breast Cancer Prognosis Using Machine Learning Techniques

Babymol Kurian

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English

Mohd Abdul Hafi
12 January 2024

Mathematical physics; Technology: general issues; Computing: general

Summary
Details

Sequencing DNA is determining the structure of four nucleobases, Adenine, Guanine, Cytosine as well as Thymine which form the DNA molecule in a genome. Over 3 billion of these key chemicals constitute the Human genome. Sequences play a vital role in the origin, structure, evolution, function, growth, and spreading of living organisms. Asequence that is translated from these four chemicals might appear like ACCTGCAGGATAGCGAGC. In the present world, cancer has become the deadliest disease, and around 20 million people are diagnosed with it every year globally. Based on the latest cancer statistics, one in 2 women, diagnosed newly with breast cancer died. Next-Generation Sequencing (NGS) plays a vital role in cancer prognosis and prediction. Various characteristics of DNA sequences especially mutation rate and occurrence of G-quadruplexes contribute much in the area of cancer analysis. Artificial intelligence can transform the traditional methods for cancer detection and pave the way for better treatment options using machine learning techniques.

By: Babymol Kurian
Imprint: Mohd Abdul Hafi
Dimensions: Height: 279mm, Width: 216mm, Spine: 11mm
Weight: 485g
ISBN: 9798224574124
Pages: 204
Publication Date: 12 January 2024
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active