Gene networks from DNA microarray data: centrality and lethality

Simple item page
dc.creatorProvero, P.
dc.date2002-07-14
dc.date2002-07-29
dc.date.accessioned2026-07-07T02:46:15Z
dc.date.available2026-07-07T02:46:15Z
dc.descriptionWe construct a gene network based on expression data from DNA microarray experiments, by establishing a link between two genes whenever the Pearson's correlation coefficient between their expression profiles is higher than a certain cutoff. The resulting connectivity distribution is compatible with a power-law decay with exponent ~1, corrected by an exponential cutoff at large connectivity. The biological relevance of such network is demonstrated by showing that there is a strong statistical correlation between high connectivity number and lethality: in close analogy to what happens for protein interaction networks, essential genes are strongly overerpresented among the hubs of the network, that is the genes connected to many other genes.
dc.identifierhttps://arxiv.org/abs/cond-mat/0207345
dc.identifierhttp://arxiv.org/abs/cond-mat/0207345
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/19599
dc.subjectStatistical Mechanics
dc.subjectBiological Physics
dc.subjectMolecular Networks
dc.titleGene networks from DNA microarray data: centrality and lethality
dc.typetext

Files

Collections

arXiv