Includes bibliographical references and author index.
|Other titles||AB 2007.|
|Statement||Hirokazu Anai, Katsuhisa Horimoto, Temur Kutsia (eds.).|
|Series||Lecture notes in computer science -- 4545., LNCS sublibrary|
|Contributions||Anai, Hirokazu., Horimoto, Katsuhisa., Kutsia, Temur.|
|The Physical Object|
|Pagination||xiii, 377 p. :|
|Number of Pages||377|
|LC Control Number||2007929551|
Written by experts in both mathematics and biology, Algebraic and Discrete Mathematical Methods for Modern Biology offers a bridge between math and biology, providing a framework for simulating, analyzing, predicting, and modulating the behavior of complex biological systems. Each chapter begins with a question from modern biology, followed by the description of certain mathematical methods . of algebraic statistics and computational biology, as well as student participa-tion in the form of group projects and presentations. The class was divided into four sections, reﬂecting the four themes of algebra, statistics, computation and biology. Each group was assigned a . Introduction This book constitutes the refereed proceedings of the Third International Conference on Algebraic Biology, AB , held at the Castle of Hagenberg, Austria in July as part of the RISC Summer , organized by the Research Institute for Symbolic Computation. Algebraic and Combinatorial Computational Biology introduces students and researchers to a panorama of powerful and current methods for mathematical problem-solving in modern computational biology. Presented in a modular format, each topic introduces the biological foundations of the field, covers specialized mathematical theory, and concludes by highlighting connections with ongoing .
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