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GeneMining: Identification, Visualization, and Interpretation of Brain Ageing Signatures

Abstract : Transcriptomic technologies are promising tools for identifying new genes involved in cerebral ageing or in neurodegenerative diseases such as Alzheimer's disease. These technologies produce massive biological data, which so far are extremely difficult to exploit. In this context, we propose GeneMining, a multidisciplinary methodology, which aims at developing new strategies to analyse such data, and to design interactive tools to help biologists to identify, visualize and interpret brain ageing signatures. In order to address the specific problem of brain ageing signatures discovery, we combine and apply existing tools with emphasis to a new efficient data mining method based on sequential patterns.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00395142
Contributor : Paola Salle <>
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Last modification on : Wednesday, October 14, 2020 - 3:48:00 AM

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Paola Salle, Sandra Bringay, Maguelonne Teisseire, Feirouz Chakkour, Mathieu Roche, et al.. GeneMining: Identification, Visualization, and Interpretation of Brain Ageing Signatures. Medical Informatics in a United and Healthy Europe (MIE), Aug 2009, Sarajevo, Bosnia and Herzegovina. pp.767-771, ⟨10.3233/978-1-60750-044-5-767⟩. ⟨lirmm-00395142⟩

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