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

Genomics at the Nexus of AI, Computer Vision, and Machine Learning explores the in-depth process of how AI and machine learning algorithms extract genomic data. The main goal is to help readers understand the dynamic intersection between genomics and cutting-edge technologies. This book aims to provide a roadmap for navigating genomics with developments in artificial intelligence to open up new research ideas to detect and analyze genetic patterns using computer vision methods. This book encompasses a wide range of topics, starting with an introduction to genomics data and its unique characteristics. Each chapter unfolds a unique facet, delving into the collaborative potential and challenges that arise from advanced technologies. It explores image analysis techniques specifically tailored for genomic data. With this resourceful data, research enables the detection and analysis of genetic patterns using computer vision methods. Furthermore, the dedicated research from contributors offers insights and knowledge to genomic research that seeks to explore the mysteries of life through the lens of interdisciplinary collaboration.