Giovanni Paternostro

The paper identifies naturally occurring receptor combinations in endothelial cells using single-cell data and introduces a software tool to analyze them, showing evolutionary conservation and relevance to angiogenesis.

The paper introduces DCS, a toolkit for scRNA-seq analysis that includes cell type identification, anomaly detection, and visualization tools, demonstrating its effectiveness on PBMC and plasma cell datasets.

The paper introduces a tool for automatically assigning cell types to scRNA-seq clusters using a voting algorithm based on molecular markers, validated on bone marrow data from the Human Cell Atlas.

The paper models cell cycle dynamics using Hopfield systems with gene expression data from HeLa and yeast cells, identifying gene inhibition targets to disrupt the cycle.