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Validation Methods for Population Models of Gene Expression Dynamics
Abstract : The advent of experimental techniques for the time-course monitoring of gene expression at the single-cell level has paved
the way to the model-based study of gene expression variability within- and across-cells. A number of approaches to the inference
of models accounting for variability of gene expression over isogenic cell populations have been developed and applied to real-world scenarios. The development of a systematic approach for the validation of population models is however lagging behind, and accuracy of the models obtained is often assessed on a semi-empirical basis. In this paper we study the problem of validation of
models of gene network dynamics for cell populations, providing statistical tools for qualitative and quantitative model validation and
comparison, and guidelines for their application and interpretation based on a real biological case study.
Cited literature [21 references]
https://hal.inria.fr/hal-01399921
Contributor : Team Ibis Team Ibis <>
Submitted on : Wednesday, December 21, 2016 - 11:46:37 AM
Last modification on : Monday, February 18, 2019 - 1:16:42 PM
Document(s) archivé(s) le : Monday, March 20, 2017 - 6:29:10 PM
Contributor : Team Ibis Team Ibis <>
Submitted on : Wednesday, December 21, 2016 - 11:46:37 AM
Last modification on : Monday, February 18, 2019 - 1:16:42 PM
Document(s) archivé(s) le : Monday, March 20, 2017 - 6:29:10 PM
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