2021
Blood Transcriptomics Predicts Progression of Pulmonary Fibrosis and Associated Natural Killer Cells.
Huang Y, Oldham JM, Ma SF, Unterman A, Liao SY, Barros AJ, Bonham CA, Kim JS, Vij R, Adegunsoye A, Strek ME, Molyneaux PL, Maher TM, Herazo-Maya JD, Kaminski N, Moore BB, Martinez FJ, Noth I. Blood Transcriptomics Predicts Progression of Pulmonary Fibrosis and Associated Natural Killer Cells. American Journal Of Respiratory And Critical Care Medicine 2021, 204: 197-208. PMID: 33689671, PMCID: PMC8650792, DOI: 10.1164/rccm.202008-3093oc.Peer-Reviewed Original Research
2018
Regularized Latent Class Model for Joint Analysis of High-Dimensional Longitudinal Biomarkers and a Time-to-Event Outcome
Sun J, Herazo-Maya J, Molyneaux PL, Maher TM, Kaminski N, Zhao H. Regularized Latent Class Model for Joint Analysis of High-Dimensional Longitudinal Biomarkers and a Time-to-Event Outcome. Biometrics 2018, 75: 69-77. PMID: 30178494, DOI: 10.1111/biom.12964.Peer-Reviewed Original ResearchConceptsJoint latent class modelLongitudinal biomarkersExtensive simulation studyLatent class modelLongitudinal submodelJoint modeling methodSurvival submodelLikelihood approachSimulation studyClass modelEvent outcomesLatent classesModeling methodMembership modelRandom effectsModeling approachClassSubmodelsJoint analysisModelBootstrapUnique trajectoriesNovel biological insightsInferenceDistance-correlation based gene set analysis in longitudinal studies
Sun J, Herazo-Maya JD, Huang X, Kaminski N, Zhao H. Distance-correlation based gene set analysis in longitudinal studies. Statistical Applications In Genetics And Molecular Biology 2018, 17: 20170053. PMID: 29397393, DOI: 10.1515/sagmb-2017-0053.Peer-Reviewed Original Research