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Analysis of Single-Cell Data
Analysis of Single-Cell Data
113,66
126,29 €
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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…
126.29
  • Publisher:
  • Year: 2016
  • Pages: 92
  • ISBN-10: 3658132337
  • ISBN-13: 9783658132330
  • Format: 14.8 x 21 x 0.7 cm, minkšti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

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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.

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  • Author: Carolin Loos
  • Publisher:
  • Year: 2016
  • Pages: 92
  • ISBN-10: 3658132337
  • ISBN-13: 9783658132330
  • Format: 14.8 x 21 x 0.7 cm, minkšti viršeliai
  • Language: English English

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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