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Machine Learning in Biological Sciences

Updates and Future Prospects

By: Shyamasree Ghosh,Rathi Dasgupta

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Machine Learning in Biological Sciences

Updates and Future Prospects

By: Shyamasree Ghosh,Rathi Dasgupta

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 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, which forms a major domain of research in the field of biology. 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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Page Count

337

Publisher

Springer Nature

Published Date

ISBN 10

9811688818

ISBN 13

9789811688812

Machine Learning in Biological Sciences

Updates and Future Prospects

By: Shyamasree Ghosh,Rathi Dasgupta

Write a review Read reviews Take a Quiz Solve Book Puzzle

Machine Learning in Biological Sciences

Updates and Future Prospects

By: Shyamasree Ghosh,Rathi Dasgupta

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 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, which forms a major domain of research in the field of biology. 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.

Average ratings

N/A

5

0%

4

0%

3

0%

2

0%

1

0%

Solve jigsaw puzzle

Age

Page Count

337

Publisher

Springer Nature

Published Date

ISBN 10

9811688818

ISBN 13

9789811688812