Artem Baranovskii

Parnet is a CLIP-seq-based foundation model for RNA sequence representation learning that outperforms existing methods in binding profile prediction and generalizes across tasks.

This study uses CRISPR-Cas9 to identify functional exons in lncRNAs, finding most exons are non-functional and functionality is enriched at the 5' end.

The paper identifies 121 lncRNA driver mutations across 19 cancer types using 12,631 genomes, showing mutations disrupt RNA-binding protein interactions to promote oncogenesis.

This study shows that combining transcriptome data with gene panel features improves drug response prediction in cancer.