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Analysis of Single-Cell Data - ODE Constrained Mixture Modeling and Approximate Bayesian Computation (Paperback, 1st ed. 2016) Loot Price: R1,696
Discovery Miles 16 960
Analysis of Single-Cell Data - ODE Constrained Mixture Modeling and Approximate Bayesian Computation (Paperback, 1st ed. 2016):...

Analysis of Single-Cell Data - ODE Constrained Mixture Modeling and Approximate Bayesian Computation (Paperback, 1st ed. 2016)

Carolin Loos

Series: BestMasters

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Loot Price R1,696 Discovery Miles 16 960 | Repayment Terms: R159 pm x 12*

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Carolin Loos introduces two novel approaches for the analysis of single-cell data. Both approaches can be used to study cellular heterogeneity and therefore advance a holistic understanding of biological processes. The first method, ODE constrained mixture modeling, enables the identification of subpopulation structures and sources of variability in single-cell snapshot data. The second method estimates parameters of single-cell time-lapse data using approximate Bayesian computation and is able to exploit the temporal cross-correlation of the data as well as lineage information.

General

Imprint: Springer Spektrum
Country of origin: Germany
Series: BestMasters
Release date: March 2016
First published: 2016
Authors: Carolin Loos
Dimensions: 210 x 148 x 7mm (L x W x T)
Format: Paperback
Pages: 92
Edition: 1st ed. 2016
ISBN-13: 978-3-658-13233-0
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Science & Mathematics > Biology, life sciences > General
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
LSN: 3-658-13233-7
Barcode: 9783658132330

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