Jana Biermann

DEBIAS-M corrects processing bias in microbiome data, improving cross-study generalization of prediction models by learning interpretable bias-correction factors.

This study creates a single-nucleus and spatial transcriptomic atlas of the COVID-19 liver, revealing cellular and functional disruptions associated with organ damage.

Echidna quantifies gene dosage effects on phenotypic plasticity by integrating scRNA-seq and WGS data to separate genetic from cell non-autonomous mechanisms.

KINOMO improves the analysis of single-cell RNA-seq data by recovering intra- and inter-tumoral heterogeneity through non-negative matrix factorization, outperforming existing methods in benchmarking.

This study develops a method for single-cell and whole-genome sequencing of frozen clinical specimens, demonstrating its utility in analyzing tumor evolution and rare disease biospecimens.