2023
Five Critical Gene-Based Biomarkers With Optimal Performance for Hepatocellular Carcinoma
Liu Y, Zhang H, Xu Y, Liu Y, Al-Adra D, Yeh M, Zhang Z. Five Critical Gene-Based Biomarkers With Optimal Performance for Hepatocellular Carcinoma. Cancer Informatics 2023, 22: 11769351231190477. PMID: 37577174, PMCID: PMC10413891, DOI: 10.1177/11769351231190477.Peer-Reviewed Original ResearchModel gene-gene interactionsCorrecting batch effectsGene-gene interactionsPublished transcriptomic studiesAnalysis of human cancersGene-based biomarkersWhole-transcriptome datasetsGenomic levelTranscriptome dataTranscriptomic studiesBatch effectsEffective therapeutic targetDEGsHuman cancersDisease etiologyMolecular backgroundCaucasian cohortTherapeutic targetIdentified 5Signature patternsIdentification of biomarkersConceptual advancesMiniaturized setting
2013
Novel Likelihood Ratio Tests for Screening Gene‐Gene and Gene‐Environment Interactions With Unbalanced Repeated‐Measures Data
Ko Y, Saha‐Chaudhuri P, Park S, Vokonas P, Mukherjee B. Novel Likelihood Ratio Tests for Screening Gene‐Gene and Gene‐Environment Interactions With Unbalanced Repeated‐Measures Data. Genetic Epidemiology 2013, 37: 581-591. PMID: 23798480, PMCID: PMC4009698, DOI: 10.1002/gepi.21744.Peer-Reviewed Original ResearchConceptsGene-environment interactionsGene-gene interactionsTesting gene-gene interactionsModel gene-gene interactionsRepeated-measures studyLongitudinal cohort studyNormative Aging StudyCumulative lead exposureCase-control studyGene-environmentGene-geneType I error rateCohort studyScreening toolAging StudyLikelihood ratio testMain effectEpistasis patternsRatio testLead exposureHemochromatosis genePower propertiesPulse pressureRegression-based approachRestrictive assumptions
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