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A Computational Network Biology Approach to Uncover Novel Genes Related to Alzheimer's Disease.

Résumé : Recent advances in the fields of genetics and genomics have enabled the identification of numerous Alzheimer's disease (AD) candidate genes, although for many of them the role in AD pathophysiology has not been uncovered yet. Concomitantly, network biology studies have shown a strong link between protein network connectivity and disease. In this chapter I describe a computational approach that, by combining local and global network analysis strategies, allows the formulation of novel hypotheses on the molecular mechanisms involved in AD and prioritizes candidate genes for further functional studies.
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https://hal-amu.archives-ouvertes.fr/hal-01406340
Contributor : Andreas Zanzoni <>
Submitted on : Thursday, December 1, 2016 - 9:51:07 AM
Last modification on : Thursday, March 29, 2018 - 5:28:01 PM

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Andreas Zanzoni. A Computational Network Biology Approach to Uncover Novel Genes Related to Alzheimer's Disease.. Systems Biology of Alzheimer's Disease, pp.435-46, 2016, ⟨10.1007/978-1-4939-2627-5_26⟩. ⟨hal-01406340⟩

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