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000796026 020__ $$a9781615046690$$q(electronic book)
000796026 020__ $$a1615046690$$q(electronic book)
000796026 020__ $$z9781615046683
000796026 0247_ $$a10.4199/C00121ED1V01Y201409QCB002$$2doi
000796026 035__ $$a(NhCcYBP)EBC4931474
000796026 040__ $$aNhCcYBP$$cNhCcYBP
000796026 050_4 $$aQH583$$b.M275 2017
000796026 08204 $$a571.601/5118$$223
000796026 1001_ $$aMarshall, Wallace F.,$$d1968-$$eauthor.
000796026 24510 $$aIntroduction to quantitative cell biology /$$cWallace F. Marshall.
000796026 264_1 $$a[San Rafael, California] :$$bMorgan & Claypool Life Sciences,$$c[2017]
000796026 300__ $$a1 online resource (viii, 49 pages) :$$billustrations.
000796026 336__ $$atext$$btxt$$2rdacontent
000796026 337__ $$acomputer$$bc$$2rdamedia
000796026 338__ $$aonline resource$$bcr$$2rdacarrier
000796026 4901_ $$aColloquium series on quantitive cell biology,$$x2375-7752 ;$$v# 1
000796026 4901_ $$aColloquium digital library of life sciences
000796026 500__ $$aPart of: Colloquium digital library of life sciences.
000796026 504__ $$aIncludes bibliographical references (pages 43-47).
000796026 5050_ $$a1. Overview: what is quantitative cell biology? -- 1.1 Modeling to bridge the gap in scales -- 1.2 Emergent properties and self-organization -- 1.3 Predictive understanding of cellular systems -- 1.4 How does quantitative cell biology differ from systems biology? --
000796026 5058_ $$a2. Quantifying data -- 2.1 Summarizing and visualizing large numbers of examples -- 2.2 Allowing samples to be compared using statistics -- 2.3 Derived quantities -- 2.4 Testing models -- 2.5 Exploratory data analysis -- 2.5.1 Spatial statistics -- 2.5.2 Time series analysis -- 2.6 Machine learning and "big data" -- 2.7 When the numbers, themselves, are directly relevant --
000796026 5058_ $$a3. Building and using models -- 3.1 Role of modeling in cell biology -- 3.2 Types of models -- 3.2.1 Ordinary differential equations -- 3.2.2 Partial differential equations -- 3.2.3 Network models -- 3.2.4 Rule-based modeling -- 3.2.5 Agent-based modeling -- 3.2.6 Stochastic modeling -- 3.3 What to do with models once you have them -- 3.3.1 Testing theories -- 3.3.2 Regression and parameter estimation -- 3.3.3 Proofs about extreme behaviors -- 3.3.4 Establishing equivalence with known systems -- 3.3.5 From models to design tools --
000796026 5058_ $$a4. Examples of quantitative cell biology -- 4.1 Counting molecules in the kinetochore -- 4.2 Modeling cytokinesis -- 4.3 Understanding forces in endocytosis --
000796026 5058_ $$a5. Frontiers in quantitative cell biology -- 5.1 New numerical methods -- 5.2 Multiscale modeling of cancer -- 5.3 Measuring and modeling developmental biology --
000796026 5058_ $$a6. How to get started in quantitative cell biology -- 6.1 Prerequisites -- 6.2 Resources for learning and teaching -- 6.3 Approaches to interdisciplinary research --
000796026 5058_ $$aReferences -- Author biography.
000796026 506__ $$aAccess limited to authorized users
000796026 533__ $$aElectronic reproduction.$$bAnn Arbor, MI$$nAvailable via World Wide Web.
000796026 588__ $$aDescription based on print version record.
000796026 650_0 $$aCytology$$xMathematical models.
000796026 650_0 $$aBiological models.
000796026 7102_ $$aProQuest (Firm)
000796026 77608 $$iPrint version:$$z9781615046683
000796026 830_0 $$aColloquium series on quantitive cell biology ;$$v#01
000796026 830_0 $$aColloquium digital library of life sciences.
000796026 852__ $$bebk
000796026 85640 $$3GOBI DDA$$uhttps://univsouthin.idm.oclc.org/login?url=http://ebookcentral.proquest.com/lib/usiricelib-ebooks/detail.action?docID=4931474$$zOnline Access
000796026 909CO $$ooai:library.usi.edu:796026$$pGLOBAL_SET
000796026 980__ $$aEBOOK
000796026 980__ $$aBIB
000796026 982__ $$aEbook
000796026 983__ $$aOnline