Yasin Şenbabaoğlu

RNAquarium integrates zebrafish and metatranscriptomic data to identify viral drivers of transcriptomic states and support foundation-model training.

DanioDecima improves gene expression prediction in zebrafish by transferring knowledge from human and mouse models, enhancing correlations and generating synthetic promoters with expected lineage-specific motifs.

This study evaluates 13 network inference methods on RPPA proteomic data from 11 cancers to identify common protein-protein interactions across tumor types.

This study examines mtDNA copy number variation across 21 solid tumor types using next-generation sequencing, finding significant depletion in bladder and kidney cancers and correlations with metabolic pathway expression and specific mutations.

The paper identifies clear cell renal cell carcinoma as highly infiltrated by T-cells and finds three clinically relevant clusters associated with survival outcomes.