Validation Methods for Population Models of Gene Expression Dynamics

Andres Gonzalez-Vargas; Eugenio Cinquemani; Giancarlo Ferrari-Trecate

Validation Methods for Population Models of Gene Expression Dynamics

Andres Gonzalez-Vargas ¹ Eugenio Cinquemani ² Giancarlo Ferrari-Trecate ^{3, 4}

1 Departamento de Automática y Electrónica, Universidad Autónoma de Occidente

2 IBIS - Modeling, simulation, measurement, and control of bacterial regulatory networks

LAPM - Laboratoire Adaptation et pathogénie des micro-organismes [Grenoble], Inria Grenoble - Rhône-Alpes, Institut Jean Roget

3 EPFL - Ecole Polytechnique Fédérale de Lausanne

4 DIS - Dipartimento di Informatica e Sistemistica

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.

Keywords : Stochastic modelling Mixed-Effects modelling Statistical methods System Biology Gene expression

Document type :

Conference papers

Domain :

Computer Science [cs] / Bioinformatics [q-bio.QM]

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https://hal.inria.fr/hal-01399921
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