2 papers
cs.LG2026
When Does Gene Regulatory Network Inference Break? A Controlled Diagnostic Study of Causal and Correlational Methods on Single-Cell Data
Miguel Fernandez-de-Retana, Ruben Sanchez-Corcuera, Unai Zulaika +2
Despite theoretical advantages, causal methods for Gene Regulatory Network (GRN) inference from single-cell RNA-seq data consistently fail to match or outperform correlation-based…
cs.CL2026
A Causal Graph Approach to Oppositional Narrative Analysis
Diego Revilla, Martin Fernandez-de-Retana, Lingfeng Chen +2
Current methods for textual analysis rely on data annotated within predefined ontologies, often embedding human bias within black-box models. Despite achieving near-perfect perform…