Speakers

Analysis of high-dimensional cytometry data is often challenging, especially in studies with many samples. Algorithms like FlowSOM, PeacoQC and CytoNorm were all developed due to issues encountered when analyzing specific datasets, aiming to enable relevant downstream analysis. In this talk, I will give an overview of the specific applications we have been working on in our lab, including diagnosis of myelodysplastic syndromes and primary immunodeficiencies, as well as heterogeneity exploration in acute myeloid leukemia and prognosis of lung cancer patients.