Analysis of signaling pathways in human T-cells using Bayesian network modeling of single cell data
We perform network inference ('reverse-engineering') on phospho-specific multi-dimensional flow cytometry measurements of signaling molecules in human T cells using Bayesian networks. Inferred networks are found to have good agreement with known pathways derived from the literature.