1 citations · 1 across the 3 of their papers we have counts for
3 papers
q-bio.GN2021
RZiMM-scRNA: A regularized zero-inflated mixture model framework for single-cell RNA-seq data
Xinlei Mi, William Bekerman, Peter A. Sims +2
Applications of single-cell RNA sequencing in various biomedical research areas have been blooming. This new technology provides unprecedented opportunities to study disease hetero…
stat.AP2021
Inverse Probability Weighting-based Mediation Analysis for Microbiome Data
Yuexia Zhang, Jian Wang, Jiayi Shen +4
Motivation: Mediation analysis is an important tool for elucidating causal mechanisms in biomedical research and has recently gained increasing attention in microbiome studies. Mot…
stat.ME2021★ 1 cited
Addressing patient heterogeneity in disease predictive model development
Xu Gao, Weining Shen, Jing Ning +2
This paper addresses patient heterogeneity associated with prediction problems in biomedical applications. We propose a systematic hypothesis testing approach to determine the exis…