Statistical Methods for Microbiome Compositional Data
NLopt C++ Implementation of BMDD
Bimodal Dirichlet Distribution Estimation
Compositional Sparse Canonical Correlation Analysis (Cross Valication ...
Compositional Sparse Canonical Correlation Analysis
Data Generating Process (Omics Data versus Compositional data)
Plot LinDA Results
Linear (Lin) Model for Differential Abundance (DA) Analysis of High-di...
Wald test for bias-corrected regression coefficients
A suite of methods for powerful and robust microbiome data analysis addressing zero-inflation, phylogenetic structure and compositional effects. Includes the LinDA method for differential abundance analysis (Zhou et al. (2022)<doi:10.1186/s13059-022-02655-5>), the BMDD (Bimodal Dirichlet Distribution) method for accurate modeling and imputation of zero-inflated microbiome sequencing data (Zhou et al. (2025)<doi:10.1371/journal.pcbi.1013124>) and compositional sparse CCA methods for microbiome multi-omics data integration (Deng et al. (2024) <doi: 10.3389/fgene.2024.1489694>).