Maria I. Zavodszky

This study compares snRNAseq data from C9orf72, SOD1, and sporadic ALS spinal cords, identifying shared and distinct molecular features across cell types.

The paper integrates brain RNA-seq and genotype data to identify eQTLs and their downstream effects on brain-related diseases.

OmicsView provides an interactive platform for analyzing omics data, enabling researchers to explore disease pathology and identify biomarkers using preprocessed datasets.

CellMap infers cell type profiles in bulk RNA-seq data from iPSC-derived cell lines using reference single-cell datasets.

This study compares tumor cell phenotype and heterogeneity differences between IDH1 mutant and wild-type gliomas using integrated multi-omics data.