Welcome to the Pancaldi Lab

Our lab studies the relationship between patients and its tumor microenvironment, focusing on decoding how the immune system and the cancer cells interact and affect treatment outcomes and learning how to improve and control them via computational approaches.

Our research Software Team

Research themes

• Network theory
• Systems biology
• Epigenomics
• Spatial, bulk & single-cell transcriptomics
• Genome architecture
• Mathematical modeling
• Multiscale modeling
• Reinforcement learning

Recent publications

CellTFusion: a transcriptional regulatory network framework for the identification of functional multicellular states from bulk RNA-seq data

Marcelo Hurtado, Vera Pancaldi

bioRxiv·05 Jul 2026·doi:10.64898/2026.06.30.735682Preprint

Code Documentation Tumour microenvironmentDeconvolutionGene regulatory networks

Mosna reveals different types of cellular interactions predictive of response to immunotherapies and survival in cancer

Alexis Coullomb, Colas Foulon, Bram van Haastrecht, Paul Monsarrat, Vera Pancaldi

Molecular & Cellular Proteomics·May 2026·doi:10.1016/j.mcpro.2026.101536

Code Spatial omicsImmunotherapyTumour microenvironment

A new pipeline for cross-validation fold-aware machine learning prediction of clinical outcomes addresses hidden data-leakage in omics based 'predictors'

Marcelo Hurtado, Vera Pancaldi

bioRxiv·16 Mar 2026·doi:10.64898/2026.03.12.711429Preprint

Code Documentation Machine learningClinical prediction

All publications