占翔｜东南大学｜学者主页

百晓学者学者目录

精选作品

期刊论文

2026

Folded‐Concave Dantzig Selector and Inference for High‐Dimensional Partial Log‐Contrast Models

Han-Ming Yang, Songshan Yang, Yin Yu, Xiang Zhan

Statistical analysis and data mining

DOI

2025

Integrating axis quantitative trait loci looks beyond cell types and offers insights into brain-related traits

Lida Wang, Shuang Gao, Siyuan Chen, Havell Markus, Gao T. Wang, Laura Carrel, Xiang Zhan, Dajiang J. Liu, Bibo Jiang

Nature Communications

DOI

2025

TCVS: tree-guided compositional variable selection analysis of microbiome data

Yicong Mao, Zhiwen Jiang, Tianying Wang, Yi‐Juan Hu, Xiang Zhan

Bioinformatics

DOI

2025

Integrative Analysis of Microbial 16S Gene and Shotgun Metagenomic Sequencing Data Improves Statistical Efficiency in Testing Differential Abundance

Ye Yue, Yicong Mao, Timothy D. Read, Veronika Fedirko, Glen A. Satten, Xuan Chen, Xiang Zhan, Yi‐Juan Hu

Journal of the American Statistical Association

DOI

2025

Composition-on-composition regression analysis for multi-omics integration of metagenomic data

Nicholas Rios, Yuke Shi, Jun Chen, Xiang Zhan, Lingzhou Xue, Qizhai Li

Bioinformatics

DOI

2024

A LATENT VARIABLE MIXTURE MODEL FOR COMPOSITION-ON-COMPOSITION REGRESSION WITH APPLICATION TO CHEMICAL RECYCLING

Nicholas Rios, Lingzhou Xue, Xiang Zhan

Annals of Applied Statistics

DOI

2024

High-Dimensional Log Contrast Models with Measurement Errors

W. Tan, Lingzhou Xue, Song-Shan Yang, Xiang Zhan

Statistica sinica

DOI

2024

Randomized Interventional Effects in Semicompeting Risks, With Application to a Hematopoietic Cell Transplantation Study

Yuhao Deng, Rui Wang, Tao Zhang, Xiang Zhan

Statistics in Medicine

DOI

2023

Separable Pathway Effects of Semi-Competing Risks via Multi-State Models

Yuhao Deng, Yi Wang, Xiang Zhan, Xiao-Hua Zhou

预印本

2026

SPASQR applies smoothed quantile regression to detect heterogeneous genetic associations

Wenjian Bi, Qiang Heng, Lin Miao, He Xu, Dajiang Liu, Seunggeun Lee, Xiang Zhan

Research Square

DOI

研究方向

生物统计与遗传统计高维成分数据分析核方法

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