Sandra Andorf

The paper introduces a semi-automated tool to improve data annotation in ImmPort by streamlining template population and ensuring formatting consistency.

The paper uses mass cytometry to analyze monocyte subtypes in a Ugandan cohort with HIV, TB, and CAD, identifying distinct phenotypes linked to disease states.

CytoPheno automates cell type naming and marker definition in cytometry data by standardizing markers and matching them to ontologies.

cytoFlagR identifies batch effects in high-parameter cytometry data using statistical methods and clustering to improve quality control.

This study uses structural information of antibodies to identify convergent antibodies in bulk IgH data, improving disease prediction for food sensitization and matching HIV prediction performance.

CyAnno improves cell type annotation in mass cytometry by incorporating unlabeled cells, enhancing prediction accuracy for gated cell types.

MetaCyto enables meta-analysis of flow and mass cytometry data, revealing racial differences in immune cell populations across 2926 samples.