Analysis of Single-Cell Data

Carolin Loos

ISBN 10: 3658132337 / ISBN 13: 9783658132330

Published by Springer Fachmedien Wiesbaden, Springer Fachmedien Wiesbaden Mär 2016, 2016

About this Item

Neuware -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.Springer Spektrum in Springer Science + Business Media, Tiergartenstr. 15-17, 69121 Heidelberg 116 pp. Englisch.

Seller Inventory # 9783658132330

Bibliographic Details

• Title: Analysis of Single-Cell Data
• Publisher: Springer Fachmedien Wiesbaden, Springer Fachmedien Wiesbaden Mär 2016
• Publication Date: 2016
• Language: English
• ISBN 10: 3658132337
• ISBN 13: 9783658132330
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

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. 

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“.