Download e-book for iPad: Analysis of Single-Cell Data : ODE Constrained Mixture by Carolin Loos

By Carolin Loos

ISBN-10: 3658132337

ISBN-13: 9783658132330

ISBN-10: 3658132345

ISBN-13: 9783658132347

Carolin bathrooms introduces novel methods for the research of single-cell information. either ways can be utilized to check mobile heterogeneity and hence increase a holistic knowing of organic strategies. the 1st process, ODE restricted combination modeling, allows the id of subpopulation buildings and assets of variability in single-cell photo info. the second one process estimates parameters of single-cell time-lapse info utilizing approximate Bayesian computation and is ready to make the most the temporal cross-correlation of the information in addition to lineage info.

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Additional info for Analysis of Single-Cell Data : ODE Constrained Mixture Modeling and Approximate Bayesian Computation

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To test the hypotheses we performed parameter estimation and model selection using a simple pathway model of NGF-induced phosphorylation of Erk. Based on pooled data consisting of three replicates, both BIC and AIC select models that consider a changed intracellular signaling under the second condition. These models incorporate a higher response to NGF stimulation under condition 2. A model that assumes a different weighting under the conditions, which was motivated by the fact that the number of cells differs significantly under the two conditions, has been rejected based on the pooled data.

This allows to capture correlated behavior between the measurements, which would not be possible if the measurements are considered separately. More information can be extracted from the data yielding higher confidence in the estimates.

0 Comparison of Multivariate and Univariate Analysis of Measurements To analyze how much information is gained by considering multivariate measurements, we perform parameter estimation first by simultaneously analyzing both measurements and then by analyzing one measurement at a time. The parameter restrictions are the same for both cases, namely the kinetic parameters and mean number of molecules μN0 are assumed to lie in [10−6 , 104 ], the weight within [0, 1] and the coefficient of variation for the number of molecules cvN0 = σN0 /μN0 within [10−6 , 104 ].

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Analysis of Single-Cell Data : ODE Constrained Mixture Modeling and Approximate Bayesian Computation by Carolin Loos

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