Machine Learning in Biological Sciences: Updates and Future Prospects

Machine Learning in Biological Sciences: Updates and Future Prospects
Author: Shyamasree Ghosh and Rathi Dasgupta
Publisher ‏ : ‎ Springer; 1st ed. 2022 edition (May 5, 2022)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 357 pages
ISBN-10 ‏ : ‎ 981168880X
ISBN-13 ‏ : ‎ 9789811688805

Book Description
This book gives an overview of applications of Machine Learning (ML) in diverse fields of biological sciences, including healthcare, animal sciences, agriculture, and plant sciences. Machine learning has major applications in process modelling, computer vision, signal processing, speech recognition, and language understanding and processing and life, and health sciences. It is increasingly used in understanding DNA patterns and in precision medicine. This book is divided into eight major sections, each containing chapters that describe the application of ML in a certain field. The book begins Author: giving an introduction to ML and the various ML methods. It then covers interesting and timely aspects such as applications in genetics, cell biology, the study of plant-pathogen interactions, and animal behavior. The book discusses computational methods for toxicity prediction of environmental chemicals and drugs, which forms a major domain of research in the field of biology.

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