1 citations · 1 across the 2 of their papers we have counts for
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.CO2021★ 1 cited
GGLasso -- a Python package for General Graphical Lasso computation
Fabian Schaipp, Christian L. Müller, Oleg Vlasovets
We introduce GGLasso, a Python package for solving General Graphical Lasso problems. The Graphical Lasso scheme, introduced by (Friedman 2007) (see also (Yuan 2007; Banerjee 2008))…