Nazir A Ganai – författare

A Biologist's Guide to Artificial Intelligence: Building the Foundations of Artificial Intelligence and Machine Learning for Achieving Advancements in Life Sciences provides an overview of the basics of Artificial Intelligence for life science biologists. In 14 chapters/sections, readers will find an introduction to Artificial Intelligence from a biologist's perspective, including coverage of AI in precision medicine, disease detection, and drug development. The book also gives insights into the AI techniques used in biology and the applications of AI in food, and in environmental, evolutionary, agricultural, and bioinformatic sciences. Final chapters cover ethical issues surrounding AI and the impact of AI on the future.This book covers an interdisciplinary area and is therefore is an important subject matter resource and reference for researchers in biology and students pursuing their degrees in all areas of Life Sciences. It is also a useful title for the industry sector and computer scientists who would gain a better understanding of the needs and requirements of biological sciences and thus better tune the algorithms.

Helps biologists to succeed in understanding the concepts of Artificial Intelligence and machine learning.

Equips with new data mining strategies an easy interface into the world of Artificial Intelligence.

Enable the researchers to enhance their own sphere of researching Artificial Intelligence.

Encompassing the foundational principles to advanced methodologies, Bioinformatics Essentials: Core Principles and Techniques offers a panoramic view of bioinformatics. It embarks on a journey that spans genes and genomes, sequence analysis, comparative genomics, functional genomics, and the exciting domain of protein structures and drug design. Spread over 3 parts and 7 chapters, the book describes the basic concepts in bioinformatics, genomic analysis, and ligand-based and structure-based drug designs. Each chapter is imbued with real-world context, demonstrating the practical implications of bioinformatics. Case studies, examples, and hands-on guides bridge the gap between theory and application, enabling readers to translate knowledge into tangible results. It fosters a holistic understanding of bioinformatics as an interdisciplinary field, acknowledges the evolving nature of bioinformatics, and prepares the readers for the future. Discussions on emerging trends, cutting-edge tools, and potential directions in the field of bioinformatics equip readers to stay at the forefront of advancements. Insights from both biology and computational science converge to provide a well-rounded perspective on the complex biological systems. While designed as a comprehensive guide for learners, the book also serves as a valuable reference for professionals seeking to deepen their understanding, refine their skills, and explore new avenues within bioinformatics.Addresses fundamental concepts in bioinformaticsEquips nonbioinformaticians with the essential tools and knowledge required to conduct and plan experiments effectivelyIncludes command sets and test datasets, completed with sample results/outputs, serving as valuable resources for training purposesProvides detailed tutorials on how to install these tools, along with troubleshooting guidance to address potential installation challenges