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Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications

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Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications - Srinivasa, K G (Editor), and Siddesh, G M (Editor), and Manisekhar, S R (Editor)
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This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics. It also highlights the role of computing and machine learning in knowledge extraction from biological data, and how this knowledge can be applied in fields such as drug design, health supplements, gene therapy, proteomics and agriculture.

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Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications 2021, Springer, Singapore

ISBN-13: 9789811524479

2020 edition

Trade paperback

Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications 2020, Springer Verlag, Singapore, Singapore

ISBN-13: 9789811524448

Hardcover