1 citations · 1 across the 5 of their papers we have counts for
5 papers
Flexible aggregation of compositional predictors with shared effects for microbiome association analysis
Satabdi Saha, Liangliang Zhang, Michele Guindani +2
Ongoing advancements in microbiome profiling have provided unprecedented insights into the molecular dynamics of microbial communities, sparking a surge of interest in uncovering t…
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…
survivalContour: Visualizing predicted survival via colored contour plots
Yushu Shi, Liangliang Zhang, Kim-Anh Do +2
Advances in survival analysis have facilitated unprecedented flexibility in data modeling, yet there remains a lack of tools for graphically illustrating the influence of continuou…
Sparse tree-based clustering of microbiome data to characterize microbiome heterogeneity in pancreatic cancer
Yushu Shi, Liangliang Zhang, Kim-Anh Do +2
There is a keen interest in characterizing variation in the microbiome across cancer patients, given increasing evidence of its important role in determining treatment outcomes. He…
aPCoA: Covariate Adjusted Principal Coordinates Analysis
Yushu Shi, Liangliang Zhang, Kim-Anh Do +2
In fields such as ecology, microbiology, and genomics, non-Euclidean distances are widely applied to describe pairwise dissimilarity between samples. Given these pairwise distances…