Anthony Baptista

The paper uses Nota to identify genes involved in cannabis sex determination by analyzing transcriptomic data from silver-treated plants.

This paper applies Ricci flow to model network rewiring during cellular differentiation using single-cell RNA-seq data, showing that network entropy and Ricci curvature provide complementary insights.

The paper demonstrates the versatility of MultiXrank, a Random Walk with Restart algorithm on multilayer networks, for gene prioritization, gene-disease association prediction, and disease signature computation.