title: Biomarkers discovery in medical genomics data.
abstract: This chapter presents a system, called DiscoCini, assisting the biology experts to explore medical genomics data. First, it computes all the correlations (based on ranks) between gene expression and bioclinical data. The amount of generated results is huge. In a second step, we propose an original visual approach to simply and efficiently explore these results. Thanks to sets of data generated during experiments in the field of the obesities genomics, we show how DiscoClini allows easily identification of complex disease biomarkers.
authors: LIM&Bio - Laboratoire d'Informatique Médicale et de Bioinformatique - E.A.3969, Université Paris Nord, 74 rue Marcel Cachin, 93017 Bobigny, Cedex, France. benis.arriel@gmail.com
authors: A
authors: A
authors: Benis
authors: M
authors: M
authors: Courtine
mesh_terms: D019295:Computational Biology; D057225:Data Mining / Q000706:statistics & numerical data; D020869:Gene Expression Profiling / Q000706:statistics & numerical data; D005819:Genetic Markers; D023281:Genomics / Q000706:statistics & numerical data*; D006801:Humans; D009765:Obesity / Q000235:genetics; D020411:Oligonucleotide Array Sequence Analysis / Q000706:statistics & numerical data; D012984:Software
chemical_list: D005819:Genetic Markers