01191nam 2200349 450 991015893890332120230807220311.01-78625-303-8(CKB)3810000000099212(MiAaPQ)EBC4808728(EXLCZ)99381000000009921220200106h20151963 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierCentennial tales memoirs of Colonel "Chester" S. Bassett French, extra aide-de-camp to Generals Lee and Jackson, the Army of Northern Virginia, 1861-1865 /compiled by Glenn C. Oldaker[Place of publication not identified] :Pickle Partners Publishing,2015.©19631 online resource (113 pages)United StatesHistoryCivil War, 1861-1865Personal narratives, Confederate973.782French Colonel "Chester" S. Bassett1377303Oldaker Glenn C.MiAaPQMiAaPQMiAaPQBOOK9910158938903321Centennial tales3414182UNINA05852nam 2200817Ia 450 991082365000332120200520144314.09786612186028978128218602612821860279780470488065047048806997804704880580470488050(CKB)1000000000773803(EBL)448827(SSID)ssj0000112215(PQKBManifestationID)11128382(PQKBTitleCode)TC0000112215(PQKBWorkID)10087004(PQKB)11715927(Au-PeEL)EBL448827(CaPaEBR)ebr10315655(CaONFJC)MIL218602(FINmELB)ELB178395(OCoLC)441892308(MiAaPQ)EBC448827(Perlego)2752571(EXLCZ)99100000000077380320090226d2009 uy 0engur|n|---|||||txtccrBiomolecular networks methods and applications in systems biology /Luonan Chen, Rui-Sheng Wang, Xiang-Sun Zhang1st ed.Hoboken, NJ Wileyc20091 online resource (420 p.)Wiley series on bioinformaticsDescription based upon print version of record.9780470243732 0470243732 Includes bibliographical references and index.BIOMOLECULAR NETWORKS; CONTENTS; PREFACE; ACKNOWLEDGMENTS; LIST OF ILLUSTRATIONS; ACRONYMS; 1 Introduction; 1.1 Basic Concepts in Molecular Biology; 1.1.1 Genomes, Genes, and DNA Replication Process; 1.1.2 Transcription Process for RNA Synthesis; 1.1.3 Translation Process for Protein Synthesis; 1.2 Biomolecular Networks in Cells; 1.3 Network Systems Biology; 1.4 About This Book; I GENE NETWORKS; 2 Transcription Regulation: Networks and Models; 2.1 Transcription Regulation and Gene Expression; 2.1.1 Transcription and Gene Regulation; 2.1.2 Microarray Experiments and Databases2.1.3 ChIP-Chip Technology and Transcription Factor Databases2.2 Networks in Transcription Regulation; 2.3 Nonlinear Models Based on Biochemical Reactions; 2.4 Integrated Models for Regulatory Networks; 2.5 Summary; 3 Reconstruction of Gene Regulatory Networks; 3.1 Mathematical Models of Gene Regulatory Network; 3.1.1 Boolean Networks; 3.1.2 Bayesian Networks; 3.1.3 Markov Networks; 3.1.4 Differential Equations; 3.2 Reconstructing Gene Regulatory Networks; 3.2.1 Singular Value Decomposition; 3.2.2 Model-Based Optimization; 3.3 Inferring Gene Networks from Multiple Datasets3.3.1 General Solutions and a Particular Solution of Network Structures for Multiple Datasets3.3.2 Decomposition Algorithm; 3.3.3 Numerical Validation; 3.4 Gene Network-Based Drug Target Identification; 3.4.1 Network Identification Methods; 3.4.2 Linear Programming Framework; 3.5 Summary; 4 Inference of Transcriptional Regulatory Networks; 4.1 Predicting TF Binding Sites and Promoters; 4.2 Inference of Transcriptional Interactions; 4.2.1 Differential Equation Methods; 4.2.2 Bayesian Approaches; 4.2.3 Data Mining and Other Methods; 4.3 Identifying Combinatorial Regulations of TFs4.4 Inferring Cooperative Regulatory Networks4.4.1 Mathematical Models; 4.4.2 Estimating TF Activity; 4.4.3 Linear Programming Models; 4.4.4 Numerical Validation; 4.5 Prediction of Transcription Factor Activity; 4.5.1 Matrix Factorization; 4.5.2 Nonlinear Models; 4.6 Summary; II PROTEIN INTERACTION NETWORKS; 5 Prediction of Protein-Protein Interactions; 5.1 Experimental Protein-Protein Interactions; 5.2 Prediction of Protein-Protein Interactions; 5.2.1 Association Methods; 5.2.2 Maximum-Likelihood Estimation; 5.2.3 Deterministic Optimization Approaches5.3 Protein Interaction Prediction Based on Multidomain Pairs5.3.1 Cooperative Domains, Strongly Cooperative Domains, Superdomains; 5.3.2 Inference of Multidomain Interactions; 5.3.3 Numerical Validation; 5.3.4 Reconstructing Complexes by Multidomain Interactions; 5.4 Domain Interaction Prediction Methods; 5.4.1 Statistical Method; 5.4.2 Domain Pair Exclusion Analysis; 5.4.3 Parsimony Explanation Approaches; 5.4.4 Integrative Approaches; 5.5 Summary; 6 Topological Structure of Biomolecular Networks; 6.1 Statistical Properties of Biomolecular Networks6.2 Evolution of Protein Interaction NetworksAlternative techniques and tools for analyzing biomolecular networks With the recent rapid advances in molecular biology, high-throughput experimental methods have resulted in enormous amounts of data that can be used to study biomolecular networks in living organisms. With this development has come recognition of the fact that a complicated living organism cannot be fully understood by merely analyzing individual components. Rather, it is the interactions of components or biomolecular networks that are ultimately responsible for an organism's form and function. This book addresses the imporWiley series on bioinformatics.Molecular biologyData processingComputational biologyBioinformaticsBiological systemsResearchData processingMolecular biologyData processing.Computational biology.Bioinformatics.Biological systemsResearchData processing.572.80285Chen Luonan1962-1641968Wang Rui-Sheng1641969Zhang Xiang-Sun1943-1641970MiAaPQMiAaPQMiAaPQBOOK9910823650003321Biomolecular networks3986413UNINA