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Analysis of Single-Cell Data: Ode Constrained Mixture Modeling and Approximate Bayesian Computation 2016 Edition
Contributor(s): Loos, Carolin (Author)

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ISBN: 3658132337     ISBN-13: 9783658132330
Publisher: Springer Spektrum
OUR PRICE: $52.24  

Binding Type: Paperback - See All Available Formats & Editions
Published: March 2016
Qty:

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Additional Information
BISAC Categories:
- Mathematics | Applied
- Mathematics | Counting & Numeration
- Science | Life Sciences - General
Dewey: 518
Series: Bestmasters
Physical Information: 0.28" H x 5.83" W x 8.27" L (0.35 lbs) 92 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

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.

 
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