title: A multiscale graph theoretical approach to gene regulation networks: a case study in atrial fibrillation.
abstract: The changes in between gene expression correlation structure induced in heart tissue by atrial fibrillation are studied by means of a graph theoretical approach. As expected by general statistical mechanics principles, the disease increases the general connectivity of the gene regulation network; the multiscale character of the analysis allows us to get both a general appreciation of regulation network connectivity and the sketching of a biological interpretation of the studied disease. The presence of a still largely unknown, scale invariant, global correlation field encompassing the entire genome is demonstrated as well.
authors.affiliation: Italian National Institute of Health, Roma 00161, Italy. federica.censi@iss.it
authors.forename: Federica
authors.initials: F
authors.lastname: Censi
authors.forename: Alessandro
authors.initials: A
authors.lastname: Giuliani
authors.forename: Pietro
authors.initials: P
authors.lastname: Bartolini
authors.forename: Giovanni
authors.initials: G
authors.lastname: Calcagnini
mesh_terms: D000465:Algorithms; D001281:Atrial Fibrillation / Q000235:genetics* / Q000378:metabolism; D016022:Case-Control Studies; D019295:Computational Biology / Q000379:methods*; D057225:Data Mining; D020869:Gene Expression Profiling / Q000379:methods*; D053263:Gene Regulatory Networks; D006801:Humans; D008957:Models, Genetic; D020411:Oligonucleotide Array Sequence Analysis