7 citations · 18 across the 5 of their papers we have counts for
5 papers
Bayesian Modeling of Microbiome Data for Differential Abundance Analysis
Qiwei Li, Shuang Jiang, Andrew Y. Koh +2
The advances of next-generation sequencing technology have accelerated study of the microbiome and stimulated the high throughput profiling of metagenomes. The large volume of sequ…
A Bayesian Zero-Inflated Negative Binomial Regression Model for the Integrative Analysis of Microbiome Data
Shuang Jiang, Guanghua Xiao, Andrew Y. Koh +2
Microbiome `omics approaches can reveal intriguing relationships between the human microbiome and certain disease states. Along with the identification of specific bacteria taxa as…
TaSer (TabAnno and SeqMiner): a toolset for annotating and querying next-generation sequence data
Xiaowei Zhan, Dajiang J. Liu
Summary: We develop TaSer (TabAnno and SeqMiner), a toolkit for annotating and querying next generation sequence (NGS) dataset in tab-delimited files. TabAnno is a powerful and eff…
Meta-Analysis of Gene Level Association Tests
Dajiang J. Liu, Gina M. Peloso, Xiaowei Zhan +18
The vast majority of connections between complex disease and common genetic variants were identified through meta-analysis, a powerful approach that enables large samples sizes whi…
Modeling and Testing for Joint Association Using a Genetic Random Field Model
Zihuai He, Min Zhang, Xiaowei Zhan +1
Substantial progress has been made in identifying single genetic variants predisposing to common complex diseases. Nonetheless, the genetic etiology of human diseases remains large…