Arsenij Ustjanzew

GeDi: Simplifying Gene Set Distances for Enhanced Omics Interpretation in R/Bioconductor

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

Predicting GD2 expression across cancer types by the integration of pathway topology and transcriptome data

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.

easier: interpretable predictions of antitumor immune response from bulk RNA-seq data

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: Creation of Flexible, Interactive and Web-based Dashboards for Visualization of Omics-pipeline Results

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