3 papers
stat.ME2023
CAT: a conditional association test for microbiome data using a leave-out approach
Yushu Shi, Liangliang Zhang, Kim-Anh Do +2
In microbiome analysis, researchers often seek to identify taxonomic features associated with an outcome of interest. However, microbiome features are intercorrelated and linked by…
stat.AP2022
Causal Models, Prediction, and Extrapolation in Cell Line Perturbation Experiments
James P. Long, Yumeng Yang, Kim-Anh Do
In cell line perturbation experiments, a collection of cells is perturbed with external agents (e.g. drugs) and responses such as protein expression measured. Due to cost constrain…
stat.ME2020
ProgPermute: Progressive permutation for a dynamic representation of the robustness of microbiome discoveries
Liangliang Zhang, Yushu Shi, Kim-Anh Do +2
Identification of features is a critical task in microbiome studies that is complicated by the fact that microbial data are high dimensional and heterogeneous. Masked by the comple…