Consistent tuning parameter selection in high dimensional sparse linear regression. - Tao Wang 067; Lixing Zhu (J. Multivar. Anal., 2011)

Non-convex penalized estimation in high-dimensional models with single-index structure. - Tao Wang 067; Peirong Xu; Lixing Zhu (J. Multivar. Anal., 2012)

Sparse sufficient dimension reduction using optimal scoring. - Tao Wang 067; Lixing Zhu (Comput. Stat. Data Anal., 2013)

Transformation-based estimation. - Zhenghui Feng; Tao Wang 067; Lixing Zhu (Comput. Stat. Data Anal., 2014)

Dimension reduction with missing response at random. - Xu Guo; Tao Wang 067; Wangli Xu; Lixing Zhu (Comput. Stat. Data Anal., 2014)

High-dimensional omics data analysis using a variable screening protocol with prior knowledge integration (SKI). - Cong Liu 020; Jianping Jiang; Jianlei Gu; Zhangsheng Yu; Tao Wang 067; Hui Lu 004 (BMC Syst. Biol., 2016)

Inference for biased transformation models. - Xuehu Zhu; Tao Wang 067; Junlong Zhao; Lixing Zhu (Comput. Stat. Data Anal., 2017)

Multiple-population shrinkage estimation via sliced inverse regression. - Tao Wang 067; Xuerong Meggie Wen; Lixing Zhu (Stat. Comput., 2017)

Estimating a sparse reduction for general regression in high dimensions. - Tao Wang 067; Mengjie Chen; Hongyu Zhao 003; Lixing Zhu (Stat. Comput., 2018)

Predicting viral exposure response from modeling the changes of co-expression networks using time series gene expression data. - Fangli Dong; Yong He; Tao Wang 067; Dong Han; Hui Lu 004; Hongyu Zhao 003 (BMC Bioinform., 2020)

An empirical Bayes approach to normalization and differential abundance testing for microbiome data. - Tiantian Liu; Hongyu Zhao 003; Tao Wang 067 (BMC Bioinform., 2020)

Dimensionality determination: A thresholding double ridge ratio approach. - Xuehu Zhu; Xu Guo; Tao Wang 067; Lixing Zhu (Comput. Stat. Data Anal., 2020)

Transformation and differential abundance analysis of microbiome data incorporating phylogeny. - Chao Zhou; Hongyu Zhao 003; Tao Wang 067 (Bioinform., 2021)

Dimension reduction in binary response regression: A joint modeling approach. - Junlan Li; Tao Wang 067 (Comput. Stat. Data Anal., 2021)

Model-Based Microbiome Data Ordination: A Variational Approximation Approach. - Yanyan Zeng; Hongyu Zhao 003; Tao Wang 067 (J. Comput. Graph. Stat., 2021)

MZINBVA: variational approximation for multilevel zero-inflated negative-binomial models for association analysis in microbiome surveys. - Tiantian Liu; Peirong Xu; Yueyao Du; Hui Lu 004; Hongyu Zhao 003; Tao Wang 067 (Briefings Bioinform., 2022)

fastANCOM: a fast method for analysis of compositions of microbiomes. - Chao Zhou; Huimin Wang; Hongyu Zhao 003; Tao Wang 067 (Bioinform., 2022)

phyloMDA: an R package for phylogeny-aware microbiome data analysis. - Tiantian Liu; Chao Zhou; Huimin Wang; Hongyu Zhao 003; Tao Wang 067 (BMC Bioinform., 2022)

mbDriver: identifying driver microbes in microbial communities based on time-series microbiome data. - Xiaoxiu Tan; Feng Xue; Chenhong Zhang; Tao Wang 067 (Briefings Bioinform., 2024)

mbDecoda: a debiased approach to compositional data analysis for microbiome surveys. - Yuxuan Zong; Hongyu Zhao; Tao Wang 067 (Briefings Bioinform., 2024)