E3S Web Conf.
Volume 351, 202210th International Conference on Innovation, Modern Applied Science & Environmental Studies (ICIES’2022)
|Number of page(s)||4|
|Published online||24 May 2022|
Using biological networks to integrate, visualize and analyze gene-disease interactions
1 LIST Laboratory, UAE University, Morocco
2 LABIPHABE Laboratory, UAE University, Morocco
* Corresponding author: firstname.lastname@example.org
Nowadays, data integration methods have been widely used to build models and to represent interactions between the data. They are showing high efficiency. Recent technologies permitted the research community to perform complex analysis on cell structures and it’s functioning system. The tremendous amount of data collected from a biological system encouraged the exploration of new hypothesis. However, the manipulation of heterogenous data require additional efforts to find the model that handles perfectly data of different type. In this paper we present our method to create a unified model and to integrate gene-disease interactions. We will talk about stat of the art methods in data integration, and how we built our network based on omics layers. Moreover, we will present the overall framework we followed to extract important interactions by visually interpreting the generated graph, and the betweenness centrality of nodes. We compared our findings to the medical literature to explain the topology of our generated network. Some genes revealed as important nodes due to the fact holding many interactions and being connected to several syndromes.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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