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Stat|November 23, 2020
Joint estimation of multiple mixed graphical models for pan-cancer network analysisBochao Jia, Faming LiangBiostatistics (Oxford, England)|April 10, 2021
Fast hybrid Bayesian integrative learning of multiple gene regulatory networks for type 1 diabetesBochao Jia, Faming Liang, Neural Computation|April 14, 2019
Learning Moral Graphs in Construction of High-Dimensional Bayesian Networks for Mixed DataSuwa Xu, Bochao Jia, Faming LiangJournal of the American Statistical Association|October 17, 2022
Markov Neighborhood Regression for High-Dimensional InferenceFaming Liang, Jingnan Xue, Bochao JiaJournal of the Royal Statistical Society. Series B, Statistical Methodology|May 28, 2019
An imputation-regularized optimization algorithm for high dimensional missing data problems and beyondFaming Liang, Bochao Jia, Jingnan Xue, et al.Biometrics|March 16, 2017
Learning gene regulatory networks from next generation sequencing dataBochao Jia, Suwa Xu, Guanghua Xiao, et al.IEEE Transactions on Medical Imaging|July 9, 2019
Joint Bayesian-Incorporating Estimation of Multiple Gaussian Graphical Models to Study Brain Connectivity Development in AdolescenceAiying Zhang, Biao Cai, Wenxing Hu, et al.Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|June 6, 2003
Use of sequential structure in simulation from high-dimensional systemsFaming LiangPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|July 13, 2004
Generalized 1/k-ensemble algorithmFaming LiangThe Journal of Chemical Physics|July 23, 2004
Annealing contour Monte Carlo algorithm for structure optimization in an off-lattice protein modelFaming LiangPageof 10