AI-Enhanced Plant Omics (English Edition) baixar o livro de graça

This book presents methods for the application or integration of AI tools (including machine learning, deep learning, and generative AI) with plant omics approaches (including functional genomics, transcriptomics, proteomics, metabolomics, epigenomics, and other omics systems) and proposes AI-based strategies for crops resistant to diverse biotic and abiotic stressors and even complicated or multiple stress conditions. It aims to advance the construction of digital plant omics to assist future breeding for developing stress-resilient crops with high-yield and high-quality traits. The book is meant as a reference and a guide to AI technologies and is designed for students and researchers to efficiently overview these critical topics of plant science and technology and thus inspire ideas of future experiments. This book is the first to provide a comprehensive summary of AI-based strategies for constructing digital plant omics involving functional genomics, transcriptomics, proteomics, metabolomics, and epigenomics for developing digital plant biology at single-cell and spatial resolution.

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