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Can I read Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications (Algorithms for Intelligent Systems) on EtoBox?

Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications (Algorithms for Intelligent Systems) by K. G. Srinivasa (editor), G. M. Siddesh (editor), S. R. Manisekhar (editor) is a computer science book available to read on EtoBox.

What is Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications (Algorithms for Intelligent Systems) about?

<p></p><p>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.</p> <p> </p><br><p></p>

Who reads Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications (Algorithms for Intelligent Systems)?

It is typically read by working professionals who need an authoritative practice reference.

Common subject areas: medicine, law, business, engineering.

Author
K. G. Srinivasa (editor), G. M. Siddesh (editor), S. R. Manisekhar (editor)
Publisher
Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd
Published
2020
Language
EN
ISBN
9789811524462
Category
computer science
Subjects
Engineering, Mathematics, Science
Updated
2026-03-24

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