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E-book

Title Foundations of systems biology / edited by Hiroaki Kitano
Published Cambridge, Mass. : MIT Press, [2001]
©2001
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Description 1 online resource (xv, 297 pages) : illustrations
Contents Systems Biology: Toward System-level Understanding of Biological Systems / Hiroaki Kitano -- Advanced Measurement Systems -- Automatic Acquisition of Cell Lineage through 4D Microscopy and Analysis of Early C. elegans Embryogenesis / Shuichi Onami, Shugo Hamahashi, Masao Nagasaki, Satoru Miyano, Hiroaki Kitano -- Reverse Engineering and Data Mining from Gene Expression Data -- The DBRF Method for Inferring a Gene Network from Large-Scale Steady-State Gene Expression Data / Shuichi Onami, Koji M. Kyoda, Mineo Morohashi, Hiroaki Kitano -- The Analysis of Cancer Associated Gene Expression Matrices / Mattias Wahde, Zoltan Szallasi -- Automated Reverse Engineering of Metabolic Pathways from Observed Data by Means of Genetic Programming / John R. Koza, William Mydlowec, Guido Lanza, Jessen Yu, Martin A. Keane -- Software for Modeling and Simulation -- The ERATO Systems Biology Workbench: An Integrated Environment for Multiscale and Multitheoretic Simulations in Systems Biology / Michael Hucka, Andrew Finney, Herbert Sauro, Hamid Bolouri, John Doyle, Hiroaki Kitano -- Automatic Model Generation for Signal Transduction with Applications to MAP-Kinase Pathways / Bruce E. Shapiro, Andre Levchenko, Eric Mjolsness -- Modeling Large Biological Systems From Functional Genomic Data: Parameter Estimation / Pedro Mendes -- Cellular Simulation -- Towards a Virtual Biological Laboratory / Jorg Stelling, Andreas Kremling, Martin Ginkel, Katja Bettenbrock, Ernst Dieter Gilles -- Computational Cell Biology--The Stochastic Approach / Thomas Simon Shimizu, Dennis Bray
Bibliography Includes bibliographical references and index
Notes Print version record
Subject Biological systems -- Research -- Case studies.
Biological systems -- Research -- Methodology.
Biology.
Cell Physiological Phenomena.
Computer Simulation.
Gene Expression Regulation.
Models, Biological.
Genre/Form Case studies.
Form Electronic book
Author Kitano, Hiroaki, 1961-
ISBN 0262277204 (electronic bk.)
0585436991 (electronic bk.)
9780262277204 (electronic bk.)
9780585436999 (electronic bk.)