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

被引：3

作者：

Salle, Paola ^{[1
]}

Bringay, Sandra ^{[1
,2
]}

Teisseire, Maguelonne ^{[1
]}

Chakkour, Feirouz ^{[1
]}

Roche, Mathieu ^{[1
]}

Rassoul, Ronza Abdel ^{[3
]}

Verdier, Jean-Michel ^{[3
]}

Devau, Gina ^{[3
]}

机构：

[1] Montpellier 2 Univ, Natl Ctr Sci Res, Robot & Microelect, Montpellier Lab Informat, 161 Rue Ada, F-34392 Montpellier, France

[2] Montpellier 3 Univ, Math & Informat Dept, Montpellier, France

[3] Montpellier 2 Univ, Mol Mech Neurodegenerative Disorder, EPHE, Inserm U710, Montpellier, France

来源：

MEDICAL INFORMATICS IN A UNITED AND HEALTHY EUROPE | 2009年 / 150卷

关键词：

bioinformatics; transcriptomic data; sequential pattern mining; data mining;

D O I：

10.3233/978-1-60750-044-5-767

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

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.

引用

页码：767 / 771

页数：5

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