Magali Berland

The paper uses the enterosignature model to stratify gut microbiome variation and links functional metabolic patterns to host health outcomes across multiple cohorts.

R package NeighborFinder infers a focal species' co-abundance neighbors via repeated cross-validated ℓ1 regression, reaching F1 ≥ 0.95 on simulated cohorts of 250 to 1000 samples.

OneNet infers consensus microbial interaction networks by combining seven methods, achieving higher precision and sparser networks than individual methods on synthetic and gut microbiome data.

This paper proposes a combined test for feature selection in sparse metaproteomics data, avoiding missing value imputation by addressing both missingness mechanisms and differential intensity.

StrainFLAIR uses variation graphs to estimate strain-level abundances in metagenomic samples, showing effectiveness on both simulated and real datasets.