Modelling of biological data

  • ECTS

    4 credits

  • Component

    Faculty of Science

Description

This course is a natural continuation of the course " Quantification of Hazard " (HAV424B) presented in S4. It should provide the concepts for the construction of experimental protocols that answer biological questions and to associate appropriate models for the analysis of variability. A first part will be devoted to the construction of experimental protocols that answer a multitude of questions in the life sciences, i.e. by taking into account the inevitable dependence of statistical individuals, such as pairing, spatial or temporal structure of populations. This part will thus be the occasion to approach the notion of fluctuation, replication and pseudo-replication, which will be taken into account in the models built in the second part of the course. This second part will show the link between the experimental protocol and the modeling of the variability of a quantitative response variable, through the construction of models including several qualitative or quantitative variables. Particular attention will be paid to the conditions of application of these methods, to type I and type II errors, to the methods of estimating the parameters of the models constructed (including the likelihood) and to the interpretation of the estimated parameters. Each notion will be illustrated by the analysis of real biological data from several themes, thus helping students to discover not only modern and common biological questions but also the tools developed to answer them. Practical work in R will allow students to independently perform analyses on published biological cases.

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Necessary pre-requisites

- HAV312B, HAV313B and HAV424B

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Knowledge control

Test

Coefficient

Nb of hours

Nb of sessions

Organization (SDS or resp)

Written

100

2

2

MSDS

Continuous control

 

 

 

 

TP

 

 

 

 

Oral

 

 

 

 

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Targeted competencies

- Mobilize mathematical tools to build statistical models of variability and answer life science questions

- adjust the protocol to the question asked

- fit a model to experimental data

- validate the predictions of a model and appreciate its limitations

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