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Machine Learning in Biological Sciences: Updates and Future Prospects

✍ Scribed by Shyamasree Ghosh, Rathi Dasgupta


Publisher
Springer
Year
2022
Tongue
English
Leaves
357
Edition
1st ed. 2022
Category
Library

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✦ Synopsis


This book gives an overview of applications of MachineΒ Learning (ML) in diverse fields of biological sciences, including healthcare, animal sciences, agriculture, and plant sciences.Β 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.Β This book is divided into eight major sections, each containing chapters that describe the application of ML in a certain field. The book begins by 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, whichΒ forms a major domain ofΒ researchΒ in the field of biology.Β Β 

It is of relevance to post-graduate students and researchers interested in exploring the interdisciplinary areas of use of machine learning and deep learning in life sciences.




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