AI/ML-Driven Gene Analysis: Methods and Protocols (Methods in Molecular Biology, 3037)
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AI/ML-Driven Gene Analysis: Methods and Protocols (Methods in Molecular Biology, 3037)

by Y-H Taguchi

artificial intelligence Bioinformatics Molecular Biology
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AI/ML-Driven Gene Analysis: Methods and Protocols offers a detailed guide to applying artificial intelligence and machine learning in gene research. Part of the Methods in Molecular Biology series (volume 3037), it provides step-by-step protocols for analyzing genetic data. Ideal for researchers seeking computational tools to enhance molecular studies, this book ensures accessible and effective methodologies.

About This Book

This book presents a collection of methods and protocols focused on AI/ML-driven gene analysis within the Methods in Molecular Biology series.

It serves as a comprehensive resource for implementing artificial intelligence and machine learning techniques in genetic research.

Designed for scientists and researchers, the protocols enable detailed examination of gene data using advanced computational approaches.

The content emphasizes practical applications to support reproducible results in molecular biology experiments.

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I will be using this book for: