Cell-cell communications

Nov 1, 2024 · 1 min read
projects

This project explores the use of random walk with restart (RWR) on tissue neighbourhood graphs to define cell–cell communication in the spatial transcriptomics context.

Key contributions:

  • Synthetic data generator: Simulation of ligand-receptor signalling for benchmarking
  • Practical methods: Scalable RWR-based inference of communication patterns in spatial transcriptomics data
Graph Theory Cell Communication Mathematical Biology
Anthony Baptista
Authors
Anthony Baptista (he/him)
Senior Postdoctoral Research Fellow
I am a Senior Postdoctoral Research Fellow in Cancer Bioinformatics at King’s College London, working in the Grigoriadis group within the School of Cancer & Pharmaceutical Sciences. My research sits at the intersection of spatial transcriptomics, graph theory, explainable AI, and tumour microenvironment biology, with a focus on breast and liver cancer. I co-lead the KCL Spatial Biology Facility and co-organise the Alan Turing Interest Group on Topology and Geometry for Data.