2024
Representing core gene expression activity relationships using the latent structure implicit in Bayesian networks
Gao J, Gerstein M. Representing core gene expression activity relationships using the latent structure implicit in Bayesian networks. Bioinformatics 2024, 40: btae463. PMID: 39051682, PMCID: PMC11316617, DOI: 10.1093/bioinformatics/btae463.Peer-Reviewed Original ResearchTranscriptional regulatory networksGene regulatory networksCo-expression networkGene expression activityChIP-seqGene conservationCluster genesSupplementary dataRegulatory networksBiological networksClearer clusteringCo-expressionExpression activityBioinformaticsGenesBiomedical studiesConservationExpressionClusters
2013
Transcriptomics of cortical gray matter thickness decline during normal aging
Kochunov P, Charlesworth J, Winkler A, Hong LE, Nichols TE, Curran JE, Sprooten E, Jahanshad N, Thompson PM, Johnson MP, Kent JW, Landman BA, Mitchell B, Cole SA, Dyer TD, Moses EK, Goring HH, Almasy L, Duggirala R, Olvera RL, Glahn DC, Blangero J. Transcriptomics of cortical gray matter thickness decline during normal aging. NeuroImage 2013, 82: 273-283. PMID: 23707588, PMCID: PMC3759649, DOI: 10.1016/j.neuroimage.2013.05.066.Peer-Reviewed Original ResearchConceptsPathway enrichment analysisTranscriptome dataInnate immune pathwaysEnrichment analysisCellular proliferationInnate immune response pathwaysImmune pathwaysImmune response pathwaysResponse pathwaysFunctional categoriesPathway enrichmentTranscriptional activityGenesExpression activityTranscriptsHigh-resolution T1-weighted MRINormal cerebral agingCommunity-dwelling membersPathwaySignificance thresholdRegenerative capacityT1-weighted MRIDifferentiationCerebral agingViral infection
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