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Titlebook: Analysis of Single-Cell Data; ODE Constrained Mixt Carolin Loos Book 2016 Springer Fachmedien Wiesbaden 2016 Parameter Estimation.Heterogen

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发表于 2025-3-21 16:09:44 | 显示全部楼层 |阅读模式
期刊全称Analysis of Single-Cell Data
期刊简称ODE Constrained Mixt
影响因子2023Carolin Loos
视频videohttp://file.papertrans.cn/157/156442/156442.mp4
发行地址Publication in the field of natural sciences.Includes supplementary material:
学科分类BestMasters
图书封面Titlebook: Analysis of Single-Cell Data; ODE Constrained Mixt Carolin Loos Book 2016 Springer Fachmedien Wiesbaden 2016 Parameter Estimation.Heterogen
影响因子.Carolin Loos introduces two novel approaches for theanalysis of single-cell data. Both approaches can be used to study cellularheterogeneity and therefore advance a holistic understanding of biologicalprocesses. The first method, ODE constrained mixture modeling, enables theidentification of subpopulation structures and sources of variability in single-cellsnapshot data. The second method estimates parameters of single-cell time-lapsedata using approximate Bayesian computation and is able to exploit the temporalcross-correlation of the data as well as lineage information. .
Pindex Book 2016
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发表于 2025-3-21 21:31:42 | 显示全部楼层
2625-3577 apshot data. The second method estimates parameters of single-cell time-lapsedata using approximate Bayesian computation and is able to exploit the temporalcross-correlation of the data as well as lineage information. .978-3-658-13233-0978-3-658-13234-7Series ISSN 2625-3577 Series E-ISSN 2625-3615
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Summary and Discussion,ped two methods, ODE-MMs with MEs for multivariate measurements (Chapter .) and ABC SMC using multivariate test statistics (Chapter .). While ODE-MMs have merely been used for single-cell snapshot data, the latter method, ABC SMC with multivariate statistics, can be applied to single-cell time-lapse
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Second Language Learning and Teachingl data with computational models that describe the dynamical behavior of the system (Cho & Wolkenhauer, 2005). Often population averaged data is considered, which only contains information about the mean behavior of the cells. Such data is for example produced by microarrays (Malone & Oliver, 2011) or Western blots (Renart .., 1979).
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