Sebastiaan Vanuytven

This paper introduces MIMA, a deep learning framework for multi-omics integration and batch correction, which effectively removes batch effects and preserves biological information across modalities.

This paper introduces Gtag&T-seq, a low-cost single-cell multi-omics method that reveals cell state plasticity and treatment response in melanoma subclones.

This study uses single-cell genome-and-transcriptome sequencing to analyze the impact of chromosome instability on cellular states and development in human preimplantation embryos.