
Table of Contents 
Proceedings of Symposia in Applied Mathematics 2007; 151 pp; hardcover Volume: 64 ISBN10: 0821839640 ISBN13: 9780821839645 List Price: US$40 Member Price: US$32 Order Code: PSAPM/64 See also: New Perspectives in Mathematical Biology  Siv Sivaloganathan Mathematical Biology  Mark A Lewis, Mark A J Chaplain, James P Keener and Philip K Maini  It is the task of computational biology to help elucidate the unique characteristics of biological systems. This process has barely begun, and many researchers are testing computational tools that have been used successfully in other fields. Mathematical and statistical network modeling is an important step toward uncovering the organizational principles and dynamic behavior of biological networks. Undoubtedly, new mathematical tools will be needed, however, to meet this challenge. The workhorse of this effort at present comprises the standard tools from applied mathematics, which have proven to be successful for many problems. But new areas of mathematics not traditionally considered applicable are contributing other powerful tools. This volume is intended to introduce this topic to a broad mathematical audience. The aim is to explain some of the biology and the computational and mathematical challenges we are facing. The different chapters provide examples of how these challenges are met, with particular emphasis on nontraditional mathematical approaches. The volume features a broad spectrum of networks across scales, ranging from biochemical networks within a single cell to epidemiological networks encompassing whole cities. Chapter topics include phylogenetics and gene finding using tools from statistics and algebraic geometry, biochemical network inference using tools from computational algebra, controltheoretic approaches to drug delivery using differential equations, and interactionbased modeling and discrete mathematics applied to problems in population dynamics and epidemiology. Readership Graduate students and research mathematicians interested in mathematical biology. 


AMS Home 
Comments: webmaster@ams.org © Copyright 2014, American Mathematical Society Privacy Statement 