55 citations · 78 across the 21 of their papers we have counts for
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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…