" Flow cytometry was historically the first single cell technology to measure millions of cellular states within minutes. Due to its robustness and scalability flow cytometry and related antibody-based single cell technologies have become an irreplaceable part of routine clinics and evolved to a powerful tool for exploratory research.

Clemens Schächter (AG Prof. Dr. Harald Binder: Knowledge Discovery Synthesis)  - Enhancement of network architecture alignment in comparative single-cell studies

Abstract

Noah Hollmann (AG Hutter: Machine Learning Lab) - TabPFN: A Foundation Model for Accelerating Data Analysis

Abstract 

Bas E. Dutilh, Friedrich Schiller Universität Jena: Mapping the Microverse and modelling its drivers
 

Abstract

CANCELLED

Nora Scherer and Daniel Fässler: Integrating exome-wide statistical screening and constraint based modeling to understand gene-metabolite relations via whole-body models of human metabolism.

Derek Spieler (AG Molekulare Psychosomatik): Integration of biological clock as marker of mental disorders.

Eva Kohnert (IMBI): Advancing the Principles of Benchmark Studies: Validating Experimental Results with Synthetic Data for 16S Microbiome Data.

Abstract

Tobias Hohl (MPI): Sample handling in scATAC-seq and astrocytogenesis – two single-cell stories.

Abstract

Alan Rubin (Walter and Eliza Hall Institute of Medical Research, Melbourn, Australia): Analyzing and Sharing Data from High-throughput Mutagenesis Experiments.

Abstract