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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…
q-bio.QM2023
Facilitating Bioinformatics Reproducibility
Christopher R. Keefe, Matthew R. Dillon, Chloe Herman +4
Study reproducibility is essential to corroborate, build on, and learn from the results of scientific research but is notoriously challenging in bioinformatics, which often involve…