Vladimir Yu Kiselev

Artemis integrates public biomedical knowledge graphs with clinical data to prioritize drug targets, showing effectiveness in breast cancer applications.

This study maps the temporal and spatial dynamics of the human endometrium using single-cell and spatial reference maps, identifying key signaling pathways regulating cell fate in vivo and in vitro.

scfind enables efficient querying of single-cell data to evaluate marker genes, perform in silico gating, and support multi-omics analyses.

The paper evaluates batch correction methods for single-cell RNA-seq using BatchBench, showing their performance across datasets.

This study compares web-based visualization tools for scRNA-seq data and introduces an R package to standardize data formats for sharing.

scmap projects cells from one scRNA-seq experiment onto cell types or cells from another experiment to enable comparison across studies.