Stefano Mangiola

This study shows that blocking ICOS reduces immune suppression in breast tumors by altering Treg and CD8 T cell dynamics, enhancing anti-tumor immunity.

This study evaluates how training scale affects cell foundation models by comparing performance with frozen representations and finds that larger pretraining data improves model performance.

cellNexus enhances Human Cell Atlas data by adding quality control, metadata, normalization, and analysis layers to enable multi-study analyses and large-scale biological discovery.

The paper introduces tidyomics, an ecosystem bridging Bioconductor and tidy R to streamline omic analysis using data from the Human Cell Atlas.

This study identifies immune cell signatures in peripheral blood that correlate with metastatic burden in breast cancer patients using single-cell transcriptomics.

The paper introduces sccomp, a method for differential composition and variability analysis in cell omics data, showing improved performance over existing methods and identifying novel biological insights in breast cancer.

This paper introduces tidyseurat, an interface that integrates Seurat with the tidyverse ecosystem for more efficient single-cell RNA sequencing data analysis.

The paper introduces ppcseq, a Bayesian tool to detect artifactual calls in differential transcript abundance analyses by identifying outliers in negative binomial models.