Author: Wang Yifei
Publisher:
Publish Date: 2006-07-01
Features: As one of the volumes in the "Modern Biotechnology Series," this book aims to provide an operational introductory overview for students engaged in bioinformatics research. Bioinformatics is a young interdisciplinary field encompassing biology, mathematics, chemistry, physics, computer science, and more, and it has experienced rapid development in recent years. Currently, bioinformaticians often rely on their respective knowledge backgrounds and preferred mathematical methods, employing specialized tools like a chef carving an ox—ranging from elementary to advanced mathematics, where each can be said to "demonstrate their unique skills." This book takes a distinct approach, introducing algorithms such as the hidden Markov model, neural networks, genetic algorithms, simulated annealing algorithms, and Bayesian networks as the main thread of intelligent algorithms. It emphasizes the application of these algorithms in bioinformatics research, striving to explore feasible paths to decode the mysteries of life. The various algorithms and bioinformatics topics introduced in the book are based on the author's years of practical research, with related papers having been published over time. Therefore, in a certain sense, this book is a compilation and summary of the author's long-term research work. Faculty and students in universities and research institutions in China who teach and study bioinformatics in the fields of biology and mathematics will find this book to be a practical textbook and a reference that is easy to read.
Bioinformatics - Intelligent Algorithms and Their Applications: Intelligent Algorithms and Their Applications
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