LEADER 03530oam 2200493 450 001 996465443403316 005 20210529201931.0 010 $a981-15-9144-X 024 7 $a10.1007/978-981-15-9144-0 035 $a(CKB)4100000011643886 035 $a(DE-He213)978-981-15-9144-0 035 $a(MiAaPQ)EBC6421593 035 $a(PPN)252513282 035 $a(EXLCZ)994100000011643886 100 $a20210529d2020 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aModeling and analysis of bio-molecular networks /$fJinhu Lü, Pei Wang 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer,$d[2020] 210 4$d©2020 215 $a1 online resource (XXI, 464 p. 144 illus., 123 illus. in color.) 311 $a981-15-9143-1 327 $a1 Introduction and Preliminaries -- 2 Reconstruction of Bio-molecular Networks -- 3 Modeling and Analysis of Simple Genetic Circuits -- 4 Modeling and Analysis of Coupled Bio-molecular Circuits -- 5 Modeling and Analysis of Large-scale Networks -- 6 Evolutionary Mechanisms of Network Motifs in PPI Networks -- 7 Identifying Important Nodes in Bio-molecular Networks -- 8 Statistical Analysis of Functional Genes in Human PPI Networks -- 9 Data-driven Statistical Approaches for Omics Data Analysis. 330 $aThis book addresses a number of questions from the perspective of complex systems: How can we quantitatively understand the life phenomena? How can we model life systems as complex bio-molecular networks? Are there any methods to clarify the relationships among the structures, dynamics and functions of bio-molecular networks? How can we statistically analyse large-scale bio-molecular networks? Focusing on the modeling and analysis of bio-molecular networks, the book presents various sophisticated mathematical and statistical approaches. The life system can be described using various levels of bio-molecular networks, including gene regulatory networks, and protein-protein interaction networks. It first provides an overview of approaches to reconstruct various bio-molecular networks, and then discusses the modeling and dynamical analysis of simple genetic circuits, coupled genetic circuits, middle-sized and large-scale biological networks, clarifying the relationships between the structures, dynamics and functions of the networks covered. In the context of large-scale bio-molecular networks, it introduces a number of statistical methods for exploring important bioinformatics applications, including the identification of significant bio-molecules for network medicine and genetic engineering. Lastly, the book describes various state-of-art statistical methods for analysing omics data generated by high-throughput sequencing. This book is a valuable resource for readers interested in applying systems biology, dynamical systems or complex networks to explore the truth of nature. 606 $aMolecular biology$xData processing 606 $aComputational biology 606 $aBioinformatics 615 0$aMolecular biology$xData processing. 615 0$aComputational biology. 615 0$aBioinformatics. 676 $a572.8 700 $aLü$b Jinhu$0967411 702 $aWang$b Pei$f1958- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a996465443403316 996 $aModeling and analysis of bio-molecular networks$92196280 997 $aUNISA