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Theory and Mathematical Methods for Bioinformatics | Tuszynski Jack A. | 1st Edition | New Age International Publication ( English Medium )

469-599
[Shipping Cost = Standard Mode, Expedite Mode]
Theory and Mathematical Methods for Bioinformatics | Tuszynski Jack A. | 1st Edition | New Age International Publication ( English Medium )


Theory and Mathematical Methods for Bioinformatics is a comprehensive textbook that provides a solid foundation in the mathematical principles and computational techniques essential for understanding and analyzing biological data. Written by renowned author Jack A. Tuszynski, this book is designed to help students and researchers in the field of bioinformatics gain a deeper understanding of the theoretical concepts and mathematical methods used in the analysis of biological data. The first edition of this book covers a wide range of topics, including probability theory, statistical analysis, graph theory, machine learning, optimization algorithms, and more. Each chapter is carefully structured to provide a clear explanation of the underlying concepts, followed by practical examples and exercises to reinforce learning. The book also includes numerous case studies and real-world applications to demonstrate how these mathematical methods are used in solving complex bioinformatics problems. One of the key features of Theory and Mathematical Methods for Bioinformatics is its emphasis on hands-on learning. The book includes numerous programming examples in popular languages such as Python and R, allowing readers to apply their knowledge to real-world datasets. Additionally, each chapter concludes with a set of review questions and problems that test the reader's understanding of the material covered. Whether you are a student looking to build a strong foundation in bioinformatics or a researcher seeking to enhance your analytical skills, Theory and Mathematical Methods for Bioinformatics is an invaluable resource. With its clear explanations, practical examples, and emphasis on hands-on learning, this book will help you develop the mathematical expertise needed to excel in the field of bioinformatics.


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Product Details
SKU / BOOK Code: NewAge-Theory-Math-Meth-Bio(E)
Publisher: New Age International Publishers
Author:
Binding Type: Paperback
No. of Pages: 464
ISBN-10: 81-8489-625-1
ISBN-13: 978-81-8489-625-1
Edition: 1st Edition
Language: English Medium
Publish Year: 2026-07
Weight (g): 400
Product Condition: New
Reading Age: Above 18 Years
Country of Origin: India
Genre: Textbooks & Study Guides
Manufacturer: New Age International Publishers
Importer: New Age International Publishers
Packer: Fullfilled by Supplier
Product Description
Theory and Mathematical Methods for Bioinformatics | Tuszynski Jack A. | 1st Edition | New Age International Publication ( English Medium )


Theory and Mathematical Methods for Bioinformatics is a comprehensive textbook that provides a solid foundation in the mathematical principles and computational techniques essential for understanding and analyzing biological data. Written by renowned author Jack A. Tuszynski, this book is designed to help students and researchers in the field of bioinformatics gain a deeper understanding of the theoretical concepts and mathematical methods used in the analysis of biological data. The first edition of this book covers a wide range of topics, including probability theory, statistical analysis, graph theory, machine learning, optimization algorithms, and more. Each chapter is carefully structured to provide a clear explanation of the underlying concepts, followed by practical examples and exercises to reinforce learning. The book also includes numerous case studies and real-world applications to demonstrate how these mathematical methods are used in solving complex bioinformatics problems. One of the key features of Theory and Mathematical Methods for Bioinformatics is its emphasis on hands-on learning. The book includes numerous programming examples in popular languages such as Python and R, allowing readers to apply their knowledge to real-world datasets. Additionally, each chapter concludes with a set of review questions and problems that test the reader's understanding of the material covered. Whether you are a student looking to build a strong foundation in bioinformatics or a researcher seeking to enhance your analytical skills, Theory and Mathematical Methods for Bioinformatics is an invaluable resource. With its clear explanations, practical examples, and emphasis on hands-on learning, this book will help you develop the mathematical expertise needed to excel in the field of bioinformatics.


Search Keywords - Theory and Mathematical Methods for Bioinformatics, Tuszynski Jack A., Bioinformatics textbook, Computational techniques for biology, Probability theory in bioinformatics, Statistical analysis in biology, Graph theory applications in bioinformatics, Machine learning algorithms for biological data, Optimization algorithms in bioinformatics, Hands-on learning bioinformatics, Python programming for biologists, R programming for bioinformatics, Real-world applications of mathematical methods in biology, Case studies in bioinformatics, Biological data analysis techniques, How to analyze biological data mathematically, Building a strong foundation in bioinformatics, Enhancing analytical skills for researchers, Mathematical expertise for bioinformaticians, Bioinformatician's guide to mathematics
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