The processed proteomics data was downloaded from the supplementary table 3 of Mora & Schmidt et. al., which used the study from Clark et. al. under Proteomics data Commons PDC000127.
Format
Columns include Log2FC, stats, gene name and SiRCle cluster information that summarises genes based on their regulation
Source
Mora & Schmidt, SiRCle (Signature Regulatory Clustering) model integration reveals mechanisms of phenotype regulation in renal cancer, Genome Medicine 2024, doi:10.1186/s13073-024-01415-3 Clark et. al, Integrated proteogenomic characterization of clear cell renal cell carcinoma, Cell 2019, doi:10.1016/j.cell.2019.10.007