基因组学与人工智能、计算机视觉和机器学习的交汇点

English | 2025 | ISBN: 1394268807 | 540 pages | PDF | 175.42 MB

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.

基因组学在人工智能、计算机视觉和机器学习的交汇处探讨了AI和机器学习算法如何提取基因数据的深入过程。主要目标是帮助读者理解基因组学与尖端技术之间的动态交叉点。本书旨在为利用人工智能的发展来导航基因组学提供路线图，以开放新的研究想法来使用计算机视觉方法检测和分析遗传模式。 这本书涵盖了广泛的主题，从对基因数据及其独特特征的介绍开始。每一章节都揭示了一个独特的面相，探讨了先进技术和其可能的合作潜力与挑战。它专门探索了针对基因数据的独特图像分析技术。通过这种宝贵的资料资源，研究可以使用计算机视觉方法来检测和分析遗传模式。此外，贡献者的专门研究提供了对寻求从跨学科合作的视角探索生命的基因组学研究具有见解和知识。 （注：为了使翻译更加流畅自然，部分句子进行了调整。）

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