55 citations · 78 across the 21 of their papers we have counts for
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stat.AP2021
Microbiome subcommunity learning with logistic-tree normal latent Dirichlet allocation
Patrick LeBlanc, Li Ma
Mixed-membership (MM) models such as Latent Dirichlet Allocation (LDA) have been applied to microbiome compositional data to identify latent subcommunities of microbial species. Th…
stat.ME2021★ 4 cited
A tree-based model for addressing sparsity and taxa covariance in microbiome compositional count data
Zhuoqun Wang, Jialiang Mao, Li Ma
Microbiome compositional data are often high-dimensional, sparse, and exhibit pervasive cross-sample heterogeneity. Generative modeling is a popular approach to analyze such data,…
stat.ME2021
Unsupervised tree boosting for learning probability distributions
Naoki Awaya, Li Ma
We propose an unsupervised tree boosting algorithm for inferring the underlying sampling distribution of an i.i.d. sample based on fitting additive tree ensembles in a fashion anal…