title: 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.
authors.affiliation: Montpellier Laboratory of Informatics, Robotics, and Microelectronics, Montpellier 2 University, National Center for Scientific Research, 34392 Montpellier, France. paola.salle@lirmm.fr
authors.forename: Paola
authors.initials: P
authors.lastname: Salle
authors.forename: Sandra
authors.initials: S
authors.lastname: Bringay
authors.forename: Maguelonne
authors.initials: M
authors.lastname: Teisseire
authors.forename: Feirouz
authors.initials: F
authors.lastname: Chakkour
authors.forename: Mathieu
authors.initials: M
authors.lastname: Roche
authors.forename: Ronza Abdel
authors.initials: RA
authors.lastname: Rassoul
authors.forename: Jean-Michel
authors.initials: JM
authors.lastname: Verdier
authors.forename: Gina
authors.initials: G
authors.lastname: Devau
mesh_terms: D000375:Aging / Q000235:genetics*; D001483:Base Sequence; D001921:Brain / Q000502:physiology*; D019295:Computational Biology; D020869:Gene Expression Profiling; D023281:Genomics; D006801:Humans