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Plos One|February 28, 2019
Drug sensitivity prediction with high-dimensional mixture regressionQianyun Li, Runmin Shi, Faming LiangJournal of the American Statistical Association|July 30, 2019
Bayesian Neural Networks for Selection of Drug Sensitive GenesFaming Liang, Qizhai Li, Lei ZhouNeural Computation|April 14, 2019
Learning Moral Graphs in Construction of High-Dimensional Bayesian Networks for Mixed DataSuwa Xu, Bochao Jia, Faming LiangJournal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|January 19, 2024
A Stochastic Approximation-Langevinized Ensemble Kalman Filter Algorithm for State Space Models with Unknown ParametersTianning Dong, Peiyi Zhang, Faming LiangStatistics in Medicine|May 1, 2024
Time-varying dynamic Bayesian network learning for an fMRI study of emotion processingLizhe Sun, Aiying Zhang, Faming LiangStatistics and Its Interface|March 22, 2014
Bayesian Analysis for Exponential Random Graph Models Using the Adaptive Exchange SamplerIck Hoon Jin, Ying Yuan, Faming LiangCancer Informatics|May 5, 2017
Integrative Analysis of Gene Networks and Their Application to Lung Adenocarcinoma StudiesSangin Lee, Faming Liang, Ling Cai, et al.Journal of Applied Statistics|August 2, 2023
Identification of factors impacting on the transmission and mortality of COVID-19Peiyi Zhang, Tianning Dong, Ninghui Li, et al.Biostatistics (Oxford, England)|January 7, 2011
Efficient p-value evaluation for resampling-based testsKai Yu, Faming Liang, Julia Ciampa, et al.Biostatistics (Oxford, England)|October 17, 2017
A two-stage approach of gene network analysis for high-dimensional heterogeneous dataSangin Lee, Faming Liang, Ling Cai, et al.Pageof 537