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Genomics at the Nexus of AI, Computer Vision, and Machine Learning
book

Genomics at the Nexus of AI, Computer Vision, and Machine Learning

by Shilpa Choudhary, Sandeep Kumar, Swathi Gowroju, Monali Gulhane, R. Sri Lakshmi
October 2024
Intermediate to advanced
560 pages
14h 37m
English
Wiley-Scrivener
Content preview from Genomics at the Nexus of AI, Computer Vision, and Machine Learning

1Integrating Genomics and Computer Vision: Unravelling Genetic Patterns and Analyzing Genomic Data

Neha Tanwar1, Sandeep Kumar2*, Garima Singh3 and Monika Bhakta4

1Department of Food Technology, Guru Jambheshwar University of Science and Technology, Hisar, India

2Engineering Cluster, Singapore Institute of Technology (SIT), 10 Dover Drive, Singapore, Singapore

3Department of Law, Bennett University, Greater Noida, India

4Department of Law, Sangam University, Bhilwara, Rajasthan, India

Abstract

In recent years, genomics and computer vision have undergone significant advancements that have profoundly influenced scientific research and healthcare. Genomics, which involves studying an organism’s complete DNA sequence, is crucial in understanding the genetic basis of diseases and designing personalized treatment strategies. Conversely, computer vision, a subfield of artificial intelligence, concentrates on creating algorithms and methodologies for analyzing and interpreting visual data. This chapter offers an overview of the convergence of genomics and computer vision, emphasizing the application of image analysis techniques for genomic data and the detection and analysis of genetic patterns using computer vision methods. The rapid progress in high-throughput sequencing technologies has led to a remarkable increase in the volume of genomic data generated. This abundance of genetic information necessitates efficient and accurate analysis methods, wherein computer vision techniques ...

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Publisher Resources

ISBN: 9781394268801Purchase Link