6 citations · 6 across the 2 of their papers we have counts for
4 papers
High-dimensional Log-Error-in-Variable Regression with Applications to Microbial Compositional Data Analysis
Pixu Shi, Yuchen Zhou, Anru R. Zhang
In microbiome and genomic studies, the regression of compositional data has been a crucial tool for identifying microbial taxa or genes that are associated with clinical phenotypes…
Generalized Linear Models with Linear Constraints for Microbiome Compositional Data
Jiarui Lu, Pixu Shi, Hongzhe Li
Motivated by regression analysis for microbiome compositional data, this paper considers generalized linear regression analysis with compositional covariates, where a group of line…
A Model for Paired-Multinomial Data and Its Application to Analysis of Data on a Taxonomic Tree
Pixu Shi, Hongzhe Li
In human microbiome studies, sequencing reads data are often summarized as counts of bacterial taxa at various taxonomic levels specified by a taxonomic tree. This paper considers…
Regression Analysis for Microbiome Compositional Data
Pixu Shi, Anru Zhang, Hongzhe Li
One important problem in microbiome analysis is to identify the bacterial taxa that are associated with a response, where the microbiome data are summarized as the composition of t…