| 000 | 03477nam a2200565 i 4500 | ||
|---|---|---|---|
| 001 | 6267344 | ||
| 003 | IEEE | ||
| 005 | 20220712204636.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 151223s2010 maua ob 001 eng d | ||
| 020 |
_a9780262257060 _qebook |
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| 020 |
_z1423772547 _qelectronic |
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| 020 |
_z0262257068 _qelectronic |
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| 020 |
_z9780262195485 _qprint |
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| 035 | _a(CaBNVSL)mat06267344 | ||
| 035 | _a(IDAMS)0b000064818b4332 | ||
| 040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
||
| 050 | 4 |
_aQH585.5.D38 _bS97 2006eb |
|
| 082 | 0 | 4 |
_a571.601/1 _222 |
| 245 | 0 | 0 |
_aSystem modeling in cell biology : _bfrom concepts to nuts and bolts / _cedited by Zoltan Szallasi, J�org Stelling, Vipul Periwal. |
| 246 | 1 | 8 | _aSystem modeling in cellular biology |
| 264 | 1 |
_aCambridge, Massachusetts : _bMIT Press, _cc2006. |
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| 264 | 2 |
_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2010] |
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| 300 |
_a1 PDF (xiv, 448 pages) : _billustrations. |
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| 336 |
_atext _2rdacontent |
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| 337 |
_aelectronic _2isbdmedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 500 | _a"A Bradford book." | ||
| 504 | _aIncludes bibliographical references (p. [385]-433) and index. | ||
| 506 | 1 | _aRestricted to subscribers or individual electronic text purchasers. | |
| 520 | _aResearch in systems biology requires the collaboration of researchers from diverse backgrounds, including biology, computer science, mathematics, statistics, physics, and biochemistry. These collaborations, necessary because of the enormous breadth of background needed for research in this field, can be hindered by differing understandings of the limitations and applicability of techniques and concerns from different disciplines. This comprehensive introduction and overview of system modeling in biology makes the relevant background material from all pertinent fields accessible to researchers with different backgrounds.The emerging area of systems level modeling in cellular biology has lacked a critical and thorough overview. This book fills that gap. It is the first to provide the necessary critical comparison of concepts and approaches, with an emphasis on their possible applications. It presents key concepts and their theoretical background, including the concepts of robustness and modularity and their exploitation to study biological systems; the best-known modeling approaches, and their advantages and disadvantages; lessons from the application of mathematical models to the study of cellular biology; and available modeling tools and datasets, along with their computational limitations. | ||
| 530 | _aAlso available in print. | ||
| 538 | _aMode of access: World Wide Web | ||
| 588 | _aDescription based on PDF viewed 12/23/2015. | ||
| 650 | 0 |
_aBiological systems. _915626 |
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| 650 | 0 |
_aCytology _xComputer simulation. _922253 |
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| 650 | 0 |
_aCytology _xData processing. _922254 |
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| 650 | 0 |
_aCytology _xMathematical models. _922255 |
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| 650 | 7 |
_aSCIENCE _xLife Sciences _xCell Biology. _2bisacsh _922256 |
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| 655 | 0 |
_aElectronic books. _93294 |
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| 700 | 1 |
_aSzallasi, Zoltan. _922257 |
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| 700 | 1 |
_aStelling, J�org. _922258 |
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| 700 | 1 |
_aPeriwal, Vipul. _922259 |
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| 710 | 2 |
_aIEEE Xplore (Online Service), _edistributor. _922260 |
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| 710 | 2 |
_aMIT Press, _epublisher. _922261 |
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| 776 | 0 | 8 |
_iPrint version _z9780262195485 |
| 856 | 4 | 2 |
_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267344 |
| 942 | _cEBK | ||
| 999 |
_c72999 _d72999 |
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