q2-classo and q2-gglasso are QIIME 2 plugins that implement sparse log-contrast regression/classification and graphical lasso-based network estimation for microbial compositional data.
Regression models for compositional data: General log-contrast formulations, proximal optimization, and microbiome data applications.Statistics in Biosciences, 13(2):217–242
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
q-bio.QM 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Sparse regression, classification, and microbial network estimation in QIIME2 with q2-classo and q2-gglasso
q2-classo and q2-gglasso are QIIME 2 plugins that implement sparse log-contrast regression/classification and graphical lasso-based network estimation for microbial compositional data.