Download Analysis of Single-Cell Data : ODE Constrained Mixture by Carolin Loos PDF

By Carolin Loos

Carolin bogs introduces novel techniques for the research of single-cell facts. either ways can be utilized to check mobile heterogeneity and accordingly improve a holistic realizing of organic approaches. the 1st strategy, ODE restricted blend modeling, allows the identity of subpopulation constructions and resources of variability in single-cell picture information. the second one strategy estimates parameters of single-cell time-lapse facts utilizing approximate Bayesian computation and is ready to take advantage of the temporal cross-correlation of the information in addition to lineage info.

Show description

Read Online or Download Analysis of Single-Cell Data : ODE Constrained Mixture Modeling and Approximate Bayesian Computation PDF

Best analysis books

A First Look at Fourier Analysis

Those are the skeleton notes of an undergraduate direction given on the PCMI convention in 2003. I should still wish to thank the organisers and my viewers for a very relaxing 3 weeks. The record is written in LATEX2e and may be on hand in tex, playstation , pdf and clvi structure from my domestic web page

Analysis of SAR Data of the Polar Oceans: Recent Advances

This booklet reports contemporary advances within the use of SAR imagery for operational functions and for assisting technology investigations of the polar oceans. the $64000 parameters which are extracted from spaceborne SAR imagery are mentioned. Algorithms utilized in such analyses are defined and information platforms utilized in generating the ocean ice items are supplied.

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

Sample text

Furthermore, as there are merely two assessments of ODE-MM, will provide additional evaluations on artificial as well as real experimental data. 2 Assessment of ODE-MMs Using Novel Data for NGF-Induced Erk Signaling Understanding intracellular signaling mechanisms that regulate pain sensitization is of great importance for pain research. Therefore, the underlying processes of NGF-induced Erk phosphorylation are studied. g. 1: Illustration of ODE constrained mixture modeling. The combination of mixture modeling of experimental data and pathway information allows us improved aquisition of subpopulation structures and mechanistics.

1 conc. 1 conc. 1 conc. 7: Artificial data for different scenarios of a conversion process of A and B with two subpopulations that differ in the response to a stimulus: Scenarios with (A) no parameter variability, (B) low parameter variability and (C) high parameter variability between individual cells. 3 Modeling Variability within a Subpopulation Moment Equations for The Conversion Process without Variability in Parameters The MEs for the conversion process are generated and simulated using the toolbox CERENA developed by Kazeroonian et al.

1. 2 Problem Statement Despite the successes achieved using ODE-MM, there are several open issues. So far, only the means of the subpopulations are described by ODEs and the variances are treated as additional parameters. If many time points and experimental conditions are observed, the unknown variances increase the dimension of the parameter space significantly. As the predictive power of a model generally decreases with its complexity, it is desirable to reduce the number of its parameters. Moreover, RREs provide only a description of the averaged behavior of a subpopulation.

Download PDF sample

Rated 4.43 of 5 – based on 29 votes