Arsenij Ustjanzew

GeDi streamlines functional enrichment results by clustering gene sets and integrating PPI data, improving interpretation and hypothesis generation.

The paper develops a computational framework to predict GD2 expression across cancer types using pathway topology and transcriptome data, validated by flow cytometry and literature.

The paper introduces easier, an R/Bioconductor package that predicts antitumor immune response from bulk RNA-seq data, outperforming existing methods in four cancers.

i2dash creates customizable, interactive web dashboards for visualizing omics data, integrating with R-based analysis pipelines and supporting single-cell RNA-seq workflows.