Matthias Becker

ConvexGating automatically learns unbiased, interpretable gating strategies for flow cytometry data, improving consistency and reducing contamination in cell population identification.

This study investigates how TREM2 expression levels affect microglial function, metabolism, and response to TREM2 agonists in a mouse model of Alzheimer's disease.

This study shows that yolk sac-derived Kupffer cells regulate neonatal hepatocyte metabolism via Igf1 signaling, essential for glycogen storage and TCA cycle function.

This study shows that primary cilia dysfunction in Bbs8-/- mice reduces adipose stem cells and promotes fibrogenic progenitors via disrupted Hedgehog signaling, affecting adipogenesis and lipid uptake.

DrugDiff generates novel small molecules with desired properties using a diffusion model guided by predictors.

The paper characterizes human CMV-specific CD8+ T cells using a five-layer multi-omics approach and identifies novel T cell receptor sequences for CMV epitopes.

This study identifies two independent mechanisms by which TRIM71 inhibits let-7 miRNA maturation and activity, impacting developmental and oncogenic processes.

This study uses single-cell RNA-seq and computational methods to analyze macrophage states in COPD patients, revealing transcriptional changes and metabolic shifts associated with the disease.

This paper demonstrates that memory-driven computing significantly accelerates NGS data processing and reduces energy consumption for RNA-seq tasks.

The paper develops robust and accurate classifiers for AML diagnosis using blood gene expression data and machine learning across 12,029 samples from 105 studies.

FASTGenomics provides a secure, flexible, and user-friendly analytical ecosystem for single-cell transcriptomics data.