BWK awk modified for biological data

Classifier for metagenomic sequences

a lightweight C++17 library of numerical optimization methods for nonlinear functions (Including L-BFGS-B for TensorFlow)

R package for Dirichlet adaptive shrinkage and smoothing

Deep learning for personalized interpretability for compositional health data

Functions to analyse compositional data and produce confidence intervals for relative increases and decreases in the compositional components

Code of DeSpaWN ((https://doi.org/10.1073/pnas.2106598119)

Kernel k Nearest Neighbors in R

Cellwise and rowwise robust linear regression with compositional covariates

Pipeable steps for feature engineering and data preprocessing to prepare for modeling

Robust regression with compositional covariates

selbal: selection of balances for microbial signatures

R package for Zero-Inflated Latent Dirichlet Allocation

Zero-Inflated (Wilcoxon and Kruskal–Wallis) Rank Test