Name: Artificial Intelligence (AI) in Cell and Genetic Engineering
SKU: 64765473
Price: 177.87 USD
Availability: InStock
Author: Sudip Mandal

portada Artificial Intelligence (AI) in Cell and Genetic Engineering

Artificial Intelligence (AI) in Cell and Genetic Engineering

Formato

Libro Físico

Editorial

Springer-Verlag New York Inc.

Autor

Sudip Mandal

Colección

Methods in Molecular Biology

Año

2025

N° páginas

493

Encuadernación

Tapa Dura

Dimensiones

25.4x17.8 cm

ISBN13

9781071646892

Artificial Intelligence (AI) in Cell and Genetic Engineering

Sudip Mandal (Autor) · Springer-Verlag New York Inc. · Tapa Dura

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Reseña del libro "Artificial Intelligence (AI) in Cell and Genetic Engineering"

This volume focuses on how different artificial intelligence (AI) techniques like Artificial Neural Network, Support Vector Machine, Random Forest, k-means Clustering, Rough Set Theory, and Convolutional Neural Network models are used in areas of cell and genetic engineering. The chapters this book cover a variety of topics such as molecular modelling in drug discovery, design of precision medicine, protein structure prediction, and analysis using AI. Readers can also learn about AI-based biomolecular spectroscopy, cell culture-system, AI-based drug discovery, and next generation sequencing. The book also discusses the application of AI in analysis of genetic diseases such as finding genetic insights of oral and maxillofacial cancer, early screening and diagnosis of autism, and classification of breast cancer microarray data. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Artificial Intelligence (AI) in Cell and Genetic Engineering is a valuable resource for readers in various research communities who want to learn more about the real-life application of artificial intelligence and machine learning in systems biology, biotechnology, bioinformatics, and health-informatics especially in the field of cell and genetic engineering.