Florian Mair

The paper identifies CD4 memory T cell networks that form therapy-responsive immune niches in colorectal cancer liver metastases, determining chemotherapy response.

ADTnorm normalizes and integrates CITE-seq datasets to remove batch effects and improve cell-type separation across 13 public datasets.

The paper identifies cytokine and metabolite networks that regulate T cell fate at the human maternal-fetal interface, showing how they restrain T cells in an antigen-independent manner.

The paper explains unmixing-dependent spreading in spectral flow cytometry and provides computational metrics to select optimal fluorochrome combinations for spectral panel design.

This study identifies novel microbial epitopes recognized by CD4+ T cells using the MCR system, revealing polyreactivity and broad conservation across gut bacteria.

The paper develops a 50-color flow cytometry panel for comprehensive immune cell phenotyping, including T cells and dendritic cells, and provides a 45-color version for broader use.

Superscan is a supervised machine learning model for single-cell RNA-seq cell type annotation, showing improved accuracy and speed over existing methods.