Simulating gene silencing through intervention analysis

Vera Djordjilović, Monica Chiogna and Chiara Romualdi

Journal of the Royal Statistical Society Series C, 2020, vol. 69, issue 4, 887-907

Abstract: We propose a novel method for simulating the effects of gene silencing. Our approach combines relevant subject matter information provided by biological pathways with gene expression levels measured in regular conditions to predict the behaviour of the system after one of the genes has been silenced. We achieve this by modelling gene silencing as an external intervention in a causal graphical model. To account for the uncertainty that is associated with the structure learning of the graphical model, we adopt a bootstrap approach. We illustrate our proposal on a Drosophila melanogaster gene silencing experiment.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssc:v:69:y:2020:i:4:p:887-907

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