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001 | 978-981-15-9144-0 | ||
003 | DE-He213 | ||
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007 | cr nn 008mamaa | ||
008 | 201206s2020 si | s |||| 0|eng d | ||
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024 | 7 |
_a10.1007/978-981-15-9144-0 _2doi |
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_a570.285 _223 |
100 | 1 |
_aLü, Jinhu. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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245 | 1 | 0 |
_aModeling and Analysis of Bio-molecular Networks _h[electronic resource] / _cby Jinhu Lü, Pei Wang. |
250 | _a1st ed. 2020. | ||
264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2020. |
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300 |
_aXXI, 464 p. 144 illus., 123 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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505 | 0 | _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. | |
520 | _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. | ||
650 | 0 | _aBioinformatics. | |
650 | 0 | _aComputer simulation. | |
650 | 1 | 4 | _aBioinformatics. |
650 | 2 | 4 | _aComputer Modelling. |
650 | 2 | 4 | _aComputational and Systems Biology. |
700 | 1 |
_aWang, Pei. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9789811591433 |
776 | 0 | 8 |
_iPrinted edition: _z9789811591457 |
776 | 0 | 8 |
_iPrinted edition: _z9789811591464 |
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-15-9144-0 |
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