Thibaut Goldsborough

The paper introduces ChannelNet, a deep learning architecture for segmenting cells and nuclei in multiplexed images, and demonstrates its effectiveness when combined with InstanSeg.

OPTIMAL benchmarks segmentation and analysis methods for Imaging Mass Cytometry data, identifying optimal parameters for cell type identification and spatial analysis.

The paper evaluates normalization methods for DNA methylation data to improve BMI prediction across cohorts when projecting new data onto a reference panel.

This study compares the genome, transcriptome, and proteome of Genlisea aurea with Arabidopsis thaliana and Trifolium pratense to assess adaptations to low nitrogen availability, finding that genome size reduction, not composition, explains lower nitrogen content.