Kevin A. Murgas

This study identifies DSRCT-specific neogenes regulated by the EWS::WT1 fusion protein and shows their potential as biomarkers and therapeutic targets in desmoplastic small round cell tumors.

ORCO is an unsupervised network-based tool that computes Ollivier-Ricci curvature to analyze biological network robustness and identify therapeutic targets.

The paper maps the differentiation landscape of osteosarcoma using single-cell data to identify gene modules linked to cell fate and patient survival.

This study identifies gene modules associated with melanoma immunotherapy response using dynamic Ollivier-Ricci curvature analysis of gene expression data.

This study reconstructs DCIS growth dynamics using somatic mutation topography, revealing a multiclonal, branching morphogenesis-like pattern consistent with a new Comet model of tumorigenesis.

The paper analyzes dynamic gene expression data using a hypergraph model to quantify network heterogeneity and identifies differences in curvature between pluripotent stem cells, cancer cells, and pathways in melanoma.

This study uses Forman-Ricci curvature and network entropy to analyze gene networks and find correlations with cellular pluripotency and pathway robustness in stem cells and cancer cells.

The paper examines spatial integration in mouse visual cortex and higher areas, finding that PM has larger receptive fields and less surround suppression, suggesting distinct functional roles.