[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-327036-105":59,"doc-detail-327036-en":131},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":124,"head_meta":126,"extra_data":128,"updated_unix":130},105,"en","foundations-of-systems-biology-edited-by-hiroaki-kitano","Foundations of Systems Biology - edited by Hiroaki Kitano","","Foundations of Systems Biology, edited by Hiroaki Kitano, presents an integrated view of systems-level approaches to understanding biological systems. The book is organized into advanced measurement systems, reverse engineering and data mining from gene expression, software for modeling and simulation, cellular simulation, and system-level analysis. Chapters cover topics such as cell lineage acquisition via 4D microscopy, gene network inference, analysis of cancer gene-expression matrices, metabolic pathway reconstruction, multiscale simulation workbenches, and robustness and regulatory mechanisms in signal transduction.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/foundations-of-systems-biology-edited-by-hiroaki-kitano/327036/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/foundations-of-systems-biology-edited-by-hiroaki-kitano/327036.png","ImageObject",300,407,{"name":92,"@type":93},"Genevieve","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-12","2026-09-21",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",12,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"How is the book structured across systems biology topics?","Question",{"text":113,"@type":114},"It is organized into five parts: advanced measurement systems, reverse engineering and data mining, software for modeling and simulation, cellular simulation, and system-level analysis.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"What types of data and computational methods are emphasized?",{"text":118,"@type":114},"The book emphasizes gene expression data and uses computational approaches for gene network inference, reverse engineering, parameter estimation, and multiscale simulation.",{"name":120,"@type":111,"acceptedAnswer":121},"What modeling and simulation tools or frameworks are covered?",{"text":122,"@type":114},"It includes coverage of integrated environments such as the ERATO Systems Biology Workbench and methods for automatic model generation for signal transduction pathways.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},327036,1790741776,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":140,"language":141,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":142,"faqs":143,"seo_title":144,"seo_description":67,"update_tm":145,"read_time":146,"preview_page_count":4},1374391974585,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","Foundations of Systems Biology  \nedited by  \nHiroaki Kitano  \nThe MIT Press Cambridge, Massachusetts London, England  \n􀀁c 2001 Massachusetts Institute of Technology  \nAll rights reserved. No part of this book maybe reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher.  \nThis book was set in Palatino by the author using the LATEX document preparation system. Printed on recycled paper and bound in the United States of America.  \nLibrary of Congress Cataloging-in-Publication Data  \nFoundations of systems biology edited by Hiroaki Kitano. -1st ed.  \n[p.cm](p.cm).  \nIncluded bibliographical references (p.) .  \nISBN 0-262-11266-3 (hc.: alk. paper)  \n1. Biological systems-Research-Methodology  \n2. Biological systems-Research-Case studies.  \nI. Kitano, Hiroaki, 1961-  \nQH313.F662002 573-dc21  \n2001042807  \nContents  \nContributors ix  \nPreface xiii  \n1 Systems Biology: Toward System-level  \nUnderstanding of Biological Systems 1  \nHiroaki Kitano  \nI ADVANCED MEASUREMENT SYSTEMS  \n2 Automatic Acquisition of Cell Lineage through  \n4D Microscopy and Analysis of Early C. elegans Embryogenesis 39  \nShuichi Onami, Shugo Hamahashi, Masao Nagasaki,  \nSatoru Miyano, and Hiroaki Kitano  \nII REVERSE ENGINEERING AND DATA MINING FROM GENE EXPRESSION DATA  \n3 The DBRF Method for Inferring a Gene Network  \nfrom Large-Scale Steady-State Gene Expression Data 59  \nShuichi Onami, Koji M. Kyoda, Mineo Morohashi, and  \nHiroaki Kitano  \n4 The Analysis of Cancer Associated Gene Expression  \nMatrices 77  \nMattias Wahde and Zoltan Szallasi  \n5 Automated Reverse Engineering of Metabolic Pathways from Observed Data by Means of Genetic  \nProgramming 95  \nJohn R. Koza, William Mydlowec, Guido Lanza, Jessen  \nYu, and Martin A. Keane  \nIII SOFTWARE FOR MODELING AND SIMULATION  \n6 The ERATO Systems Biology Workbench: An Integrated Environment for Multiscale and  \nMultitheoretic Simulations in Systems Biology 125  \nMichael Hucka, Andrew Finney, Herbert Sauro,  \nHamid Bolouri, John Doyle, and Hiroaki Kitano  \n7 Automatic Model Generation for Signal Transduction with Applications to MAP-Kinase  \nPathways 145  \nBruce E. Shapiro, Andre Levchenko, and Eric  \nMjolsness  \n8 Modeling Large Biological Systems From Functional  \nGenomic Data: Parameter Estimation 163  \nPedro Mendes  \nIV CELLULAR SIMULATION  \n9 Towards a Virtual Biological Laboratory 189  \nJrg Stelling, Andreas Kremling, Martin Ginkel, Katja  \nBettenbrock and Ernst Dieter Gilles  \n10 Computational Cell Biology—The Stochastic  \nApproach 213  \nThomas Simon Shimizu and Dennis Bray  \n11 Computer Simulation of the Cell: Human  \nErythrocyte Model and its Application 233  \nYoichi Nakayama and Masaru Tomita  \nV SYSTEM-LEVEL ANALYSIS  \n12 Constructing Mathematical Models of Biological Signal Transduction Pathways: An Analysis of  \nRobustness 251  \nTau-Mu Yi  \n13 Combination of Biphasic Response Regulation and Positive Feedback as a General Regulatory  \nMechanism in Homeostasis and Signal Transduction 263  \nAndre Levchenko, Jehoshua Bruck, and Paul W.  \nSternberg  \n14 Distinct Roles of Rho-kinase Pathway and Myosin Light Chain Kinase Pathway in Phosphorylation of  \nMyosin Light Chain: Kinetic Simulation Study 279  \nShinya Kuroda, Nicolas Schweighofer, Mutsuki  \nAmano, Kozo Kaibuchi, and Mitsuo Kawato  \nContributors  \nMutsuki Amano  \nDivision of Signal Transduction, Nara Institute of Science and Technology.  \nKatja Bettenbrock  \nbettenbrock@mpi-magdeburg . mpg . de  \nMax-Planck-Institute for Dynamics of Complex Technical Systems.  \nHamid Bolouri  \n[hbolouri@caltech](hbolouri@caltech. edu)[.](hbolouri@caltech. edu)[ edu](hbolouri@caltech. edu)  \nJST/ERATO Kitano Systems Biology Project,  \nand  \nControl and Dynamical Systems, California Institute of Technology, and  \nDivision of Biology,  \nCalifornia Institute of Technology, and  \nScience and Technology Research Centre,  \nUniversity of Hertfordshir","cbCaigLIxqDkNMo1","https://ap.wps.com/l/cbCaigLIxqDkNMo1","pdf",3790293,290,"English","# Preface\n# Systems Biology: Toward System-level Understanding of Biological Systems\n# Automatic Acquisition of Cell Lineage through 4D Microscopy and Analysis of Early C. elegans Embryogenesis\n# The DBRF Method for Inferring a Gene Network from Large-Scale Steady-State Gene Expression Data\n# The Analysis of Cancer Associated Gene Expression Matrices\n# The ERATO Systems Biology Workbench\n# Automatic Model Generation for Signal Transduction with Applications to MAP-Kinase Pathways\n# Modeling Large Biological Systems from Functional Genomic Data: Parameter Estimation\n# Towards a Virtual Biological Laboratory\n# Computational Cell Biology—The Stochastic Approach\n# Constructing Mathematical Models of Biological Signal Transduction Pathways: An Analysis of Robustness","[{\"question\":\"How is the book structured across systems biology topics?\",\"answer\":\"It is organized into five parts: advanced measurement systems, reverse engineering and data mining, software for modeling and simulation, cellular simulation, and system-level analysis.\"},{\"question\":\"What types of data and computational methods are emphasized?\",\"answer\":\"The book emphasizes gene expression data and uses computational approaches for gene network inference, reverse engineering, parameter estimation, and multiscale simulation.\"},{\"question\":\"What modeling and simulation tools or frameworks are covered?\",\"answer\":\"It includes coverage of integrated environments such as the ERATO Systems Biology Workbench and methods for automatic model generation for signal transduction pathways.\"}]","Foundations of Systems Biology - edited by Hiroaki Kitano | PDF",1789976020,731]