activity
20082023
most citedA sparse conditional Gaussian graphical model for analysis of genetical genomics data

185 citations · 654 across the 31 of their papers we have counts for

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20 papers · 1 filter

stat.ME2022

An Empirical Bayes Regression for Multi-tissue eQTL Data Analysis

Fei Xue, Hongzhe Li

The Genotype-Tissue Expression (GTEx) project collects samples from multiple human tissues to study the relationship between genetic variation or single nucleotide polymorphisms (S…

stat.ME2021

Inference of Microbial Interactions Using Copula Models with Mixture Margins

Rebecca A. Deek, Hongzhe Li

Quantification of microbial interactions from 16S rRNA and meta-genomic sequencing data is difficult due to their sparse nature, as well as the fact that the data only provides mea…

stat.ME2021★ 2 cited

Truncated Rank-Based Tests for Two-Part Models with Excessive Zeros and Applications to Microbiome Data

Wanjie Wang, Eric Z. Chen, Hongzhe Li

High-throughput sequencing technology allows us to test the compositional difference of bacteria in different populations. One important feature of human microbiome data is that it…

stat.ME2021

Multi-sample estimation of centered log-ratio matrix in microbiome studies

Yezheng Li, Hongzhe Li, Yuanpei Cao

In microbiome studies, one of the ways of studying bacterial abundances is to estimate bacterial composition based on the sequencing read counts. Various transformations are then a…

stat.ME2021

A Regression-based Approach to Robust Estimation and Inference for Genetic Covariance

Jianqiao Wang, Sai Li, Hongzhe Li

Genome-wide association studies (GWAS) have identified thousands of genetic variants associated with complex traits, and some variants are shown to be associated with multiple comp…

stat.ME2020★ 7 cited

Estimation, Confidence Intervals, and Large-Scale Hypotheses Testing for High-Dimensional Mixed Linear Regression

Linjun Zhang, Rong Ma, T. Tony Cai +1

This paper studies the high-dimensional mixed linear regression (MLR) where the output variable comes from one of the two linear regression models with an unknown mixing proportion…