article Open AccessTop 1% cited

ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context

BMC Bioinformatics · 2006 · Vol. 7(S1) · pp. S7–S7

Adam A Margolin✉(Columbia University)Ilya Nemenman(Center for Systems Biology)Katia Basso(Columbia University)Chris Wiggins(Center for Systems Biology)Gustavo StolovitzkyRiccardo Dalla Favera(Cancer Genetics (United States))Andrea Califano(Center for Systems Biology)

View via DOI Full-text PDF

Abstract

ARACNE shows promise in identifying direct transcriptional interactions in mammalian cellular networks, a problem that has challenged existing reverse engineering algorithms. This approach should enhance our ability to use microarray data to elucidate functional mechanisms that underlie cellular processes and to identify molecular targets of pharmacological compounds in mammalian cellular networks.

Gene expression and cancer classification Gene Regulatory Network Analysis Cell Image Analysis TechniquesContext (archaeology)Gene regulatory networkMicroarray analysis techniquesDNA microarrayMicroarrayRegulation of gene expressionGene expressionGene

MeSH terms

Proto-Oncogene MasAlgorithmsAnimalsB-LymphocytesComputer SimulationGene Expression RegulationHumansPhenotypeSoftwareTranscription, GeneticReproducibility of ResultsModels, StatisticalNeural Networks, ComputerComputational BiologyOligonucleotide Array Sequence Analysis