Thomaz Lüscher Dias

TwinCell identifies therapeutic targets by analyzing cell state transitions using a causal model trained on in vitro data, outperforming existing methods in both virtual and clinical settings.

The paper identifies lncRNA expression signatures associated with Ebola vaccine-induced immunity using RNA-sequencing data from three human cohorts.

This paper proposes an integrative multi-omics approach to optimize cultivated meat production by analyzing interactome models and applying a Target-Action-Metabolite framework to improve quality and safety.

This study identifies that SARS-CoV-2 increases unproductive splicing isoforms of immune-related genes, potentially subverting antiviral responses.

The paper introduces WikiGOA, a gene set enrichment analysis method using Wikipedia and Gene Ontology, showing it provides understandable results for gene expression data analysis.

This study tracks the evolution of gene-disease associations over 30 years using text-mining to reveal shared mechanisms and drug targets across diseases.