2 papers
q-bio.QM2026
Sparse regression, classification, and microbial network estimation in QIIME2 with q2-classo and q2-gglasso
Oleg Vlasovets, Fabian Schaipp, Leo Simpson +3
Motivation: Statistical analysis of microbial count data derived from 16S rRNA or metagenomics sequencing poses unique challenges due to the sparse, compositional, and high-dimensi…
stat.CO2020
c-lasso -- a Python package for constrained sparse and robust regression and classification
Léo Simpson, Patrick L. Combettes, Christian L. Müller
We introduce c-lasso, a Python package that enables sparse and robust linear regression and classification with linear equality constraints. The underlying statistical forward mode…