Maurizio Callari

Serval is a modular framework for decoding spatial transcriptomics data that introduces Cosine, a method improving transcript recovery and correlation with expression references.

This study uses RNA-seq to analyze gene expression changes in human blood after X-ray exposure, identifying novel radiosensitive genes and pathways.

The paper investigates the association between Parkinson's disease genes and cancer outcomes, finding gene-specific survival correlations and links to cancer hallmarks and drug responses.

This paper develops and validates a 9-gene Breast Cancer Purity Score to improve prognostication by accounting for tumour purity in breast cancer datasets.

This study uses ctDNA from metastatic breast cancer patients and a Bayesian model to predict treatment response and progression-free survival, outperforming alternative methods.

ExSeq enables multiplexed RNA mapping at nanoscale resolution by expanding biological specimens for in situ sequencing.

NG-TAS is a cost-effective method for profiling ctDNA mutations in cancer patients, showing consistent detection of mutations at >1% allele fraction.