Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 1 de 1
Filter
Add more filters










Database
Language
Publication year range
1.
Stud Health Technol Inform ; 150: 767-71, 2009.
Article in English | MEDLINE | ID: mdl-19745414

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.


Subject(s)
Aging/genetics , Brain/physiology , Gene Expression Profiling , Base Sequence , Computational Biology , Genomics , Humans
SELECTION OF CITATIONS
SEARCH DETAIL
...