Daniel Toro Dominguez

This paper constructs a transcriptional patient map of SLE using single-cell and bulk RNA-seq data, identifying conserved immune programs in blood and kidney tissue.

This paper introduces singleDeep, a deep learning pipeline for scRNA-Seq data analysis that improves phenotype prediction and provides insights into gene importance and cell types.

ADEx is a database integrating omics data from autoimmune diseases, offering analysis tools for exploring transcriptomics and methylation studies.

The paper identifies four molecular clusters in systemic autoimmune diseases using transcriptome and methylome data, showing three stable aberrant patterns and one non-specific cluster.