Analysis of Single-Cell Data : ODE Constrained Mixture Modeling and Approximate Bayesian Computation
Language: English
Published by Springer Gabler, 2016
Series: Book 26 of 91 - BestMasters
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 47.23
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Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - 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.
Seller Inventory # 9783658132330
- Title
- Analysis of Single-Cell Data : ODE Constrained Mixture Modeling and Approximate Bayesian Computation
- Author
- Carolin Loos
- Publisher
- Springer Gabler
- Publication year
- 2016
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3658132337
- ISBN 13
- 9783658132330
- Item weight
- 162 grams
- Dimensions
- 210x148x7 mm
- Series
- Book 26 of 91: BestMasters
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.
"Synopsis" may belong to another edition of this title.
About the Author
Carolin Loos is currently doing her PhD at the Institute of Computational Biology at the Helmholtz Zentrum München. She is member of the junior research group „Data-driven Computational Modeling“.
"About the title" may belong to another edition of this title.
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