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Biometrical Journal. Biometrische Zeitschrift|May 31, 2024
A Bayesian hierarchical hidden Markov model for clustering and gene selection: Application to kidney cancer gene expression dataThierry Chekouo, Himadri MukherjeeBiostatistics (Oxford, England)|May 10, 2021
Bayesian integrative analysis and prediction with application to atherosclerosis cardiovascular diseaseThierry Chekouo, Sandra E SafoStatistical Methods in Medical Research|June 28, 2023
A Bayesian genomic selection approach incorporating prior feature ordering and population structures with application to coronary artery diseaseXiaotian Dai, Xuewen Lu, Thierry ChekouoFrontiers in Genetics|July 29, 2021
Filtering High-Dimensional Methylation Marks With Extremely Small Sample Size: An Application to Gastric Cancer DataXin Chen, Qingrun Zhang, Thierry ChekouoStatistics and Computing|February 24, 2025
Using prior-data conflict to tune Bayesian regularized regression modelsTimofei Biziaev, Karen Kopciuk, Thierry ChekouoNeuroimage. Clinical|October 9, 2020
A Bayesian 2D functional linear model for gray-level co-occurrence matrices in texture analysis of lower grade gliomasThierry Chekouo, Shariq Mohammed, Arvind RaoBMC Genomics|June 12, 2023
Integrative multi-omics approach for identifying molecular signatures and pathways and deriving and validating molecular scores for COVID-19 severity and statusDanika Lipman, Sandra E Safo, Thierry ChekouoPlos One|April 25, 2022
Multi-omic analysis reveals enriched pathways associated with COVID-19 and COVID-19 severityDanika Lipman, Sandra E Safo, Thierry ChekouoStatistics in Medicine|May 17, 2023
A two-level copula joint model for joint analysis of longitudinal and competing risks dataXiaoming Lu, Thierry Chekouo, Hua Shen, et al.Journal of Computational Mathematics and Data Science|February 2, 2026
Broken adaptive ridge method for variable selection in generalized partly linear models with application to the coronary artery disease dataChristian Chan, Xiaotian Dai, Thierry Chekouo, et al.Pageof 3