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| 005 | 20230120142325.0 | ||
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| 008 | 211209s2021 xx o ||||0 eng d | ||
| 020 |
_a9780429944529 _q(electronic bk.) |
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| 020 | _z9781138597327 | ||
| 035 | _a(MiAaPQ)EBC6541197 | ||
| 035 | _a(Au-PeEL)EBL6541197 | ||
| 035 | _a(OCoLC)1246576767 | ||
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_aMiAaPQ _beng _erda _epn _cMiAaPQ _dMiAaPQ |
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| 050 | 4 | _aQH324.2 .R363 2021 | |
| 082 | 0 | _a570.113 | |
| 100 | 1 | _aRaman, Karthik. | |
| 245 | 1 | 3 |
_aAn introduction to computational systems biology : _bsystems-level modelling of cellular networks. |
| 264 | 1 |
_aMilton : _bCRC Press LLC, _c2021. |
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| 264 | 4 | _c©2021. | |
| 300 | _a1 online resource (359 pages) | ||
| 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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| 490 | 1 | _aChapman and Hall/CRC Computational Biology Ser. | |
| 505 | 0 | _aCover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- CHAPTER 1: Introduction to modelling -- 1.1. WHAT IS MODELLING? -- 1.1.1. What are models? -- 1.2. WHYBUILD MODELS? -- 1.2.1. Why model biological systems? -- 1.2.2. Why systems biology? -- 1.3. CHALLENGES IN MODELLING BIOLOGICAL SYSTEMS -- 1.4. THE PRACTICE OF MODELLING -- 1.4.1. Scope of the model -- 1.4.2. Making assumptions -- 1.4.3. Modelling paradigms -- 1.4.4. Building the model -- 1.4.5. Model analysis debugging and (in)validation -- 1.4.6. Simulating the model -- 1.5. EXAMPLES OF MODELS -- 1.5.1. Lotka-Volterra predator-prey model -- 1.5.2. SIR model: A classic example -- 1.6. TROUBLESHOOTING -- 1.6.1. Clarity of scope and objectives -- 1.6.2. The breakdown of assumptions -- 1.6.3. Is my model fit for purpose? -- 1.6.4. Handling uncertainties -- EXERCISES -- REFERENCES -- FURTHER READING -- PART I: Static Modelling -- CHAPTER 2: Introduction to graph theory -- 2.1. BASICS -- 2.1.1. History of graph theory -- 2.1.2. Examples of graphs -- 2.2. WHY GRAPHS? -- 2.3. TYPES OF GRAPHS -- 2.3.1. Simple vs. non-simple graphs -- 2.3.2. Directed vs. undirected graphs -- 2.3.3. Weighted vs. unweighted graphs -- 2.3.4. Other graph types -- 2.3.5. Hypergraphs -- 2.4. COMPUTATIONAL REPRESENTATIONS OF GRAPHS -- 2.4.1. Data structures -- 2.4.2. Adjacency matrix -- 2.4.3. The Laplacian matrix -- 2.5. GRAPH REPRESENTATIONS OF BIOLOGICAL NETWORKS -- 2.5.1. Networks of protein interactions and functionalassociations -- 2.5.2. Signalling networks -- 2.5.3. Protein structure networks -- 2.5.4. Gene regulatory networks -- 2.5.5. Metabolic networks -- 2.6. COMMON CHALLENGES & -- TROUBLESHOOTING -- 2.6.1. Choosing a representation -- 2.6.2. Loading and creating graphs -- 2.7. SOFTWARE TOOLS -- EXERCISES -- REFERENCES -- FURTHER READING. | |
| 505 | 8 | _a13.4. SOFTWARE TOOLS. | |
| 588 | _aDescription based on publisher supplied metadata and other sources. | ||
| 590 | _aElectronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2021. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. | ||
| 650 | 0 | _aMolecular biology-Data processing. | |
| 650 | 0 | _aBiological systems-Computer simulation. | |
| 650 | 0 | _aSystems biology. | |
| 650 | 0 | _aComputational biology. | |
| 776 | 0 | 8 |
_iPrint version: _aRaman, Karthik _tAn Introduction to Computational Systems Biology _dMilton : CRC Press LLC,c2021 _z9781138597327 |
| 797 | 2 | _aProQuest (Firm) | |
| 830 | 0 | _aChapman and Hall/CRC Computational Biology Ser. | |
| 856 | 4 | 0 |
_uhttps://ebookcentral.proquest.com/lib/uwestlon/detail.action?docID=6541197 _zOpen e-book |
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