The facebook of genes: community detection in biological networks

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Background: In biology, many processes involve a group of genes that are expressed at the same time or a group of proteins that interact with each other. These interactions can be represented as networks and allow the identification of modules, which are groups of densely interconnected nodes ( genes or proteins). A module should regroup nodes that work in the same pathway or have a related function, thus allowing to understand better different biological processes, pathways and causes of disease.

Goal: To identify overlapping and non-overlapping modules in different biological networks.

Computational tools: For this project, we used the linkcomm R package to identify overlapping modules. We also created an algorithm to transform the results into a list of non-overlapping modules.

Keywords: community identification, biological networks, pathways

Supervisor: Daniel Marbach

Download project introduction slides

Students wiki: The facebook of genes