KIRP_PE2 Analysis
Authors/Creators
- 1. School of Chemistry and Molecular Biosciences, University of Queensland, Molecular Biosciences Building
Description
KIRP II patient gene expression counts were downloaded from TCGA based on patient identifiers from Chen F. et al. Samples were stratified based on FH expression into two groups (low=bottom 25% (log2(counts + 1) <= 11.8), high=>25% (log2(counts + 1) > 11.8)). Code and data are available at https://github.com/ArianeMora/KIRP_PE.
Ref: F. Chen, Y. Zhang, Y. Şenbabaoğlu, G. Ciriello, L. Yang, E. Reznik, B. Shuch, G. Micevic, G. de Velasco, E. Shinbrot, M. S. Noble, Y. Lu, K. R. Covington, L. Xi, J. A. Drummond, D. Muzny, H. Kang, J. Lee, P. Tamboli, V. Reuter, C. S. Shelley, B. A. Kaipparettu, D. P. Bottaro, A. K. Godwin, R. A. Gibbs, G. Getz, R. Kucherlapati, P. J. Park, C. Sander, E. P. Henske, J. H. Zhou, D. J. Kwiatkowski, T. H. Ho, T. K. Choueiri, J. J. Hsieh, R. Akbani, G. B. Mills, A. A. Hakimi, D. A. Wheeler, C. J. Creighton, Multilevel Genomics-Based Taxonomy of Renal Cell Carcinoma. Cell Reports. 14, 2476–2489 (2016).
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Additional details
Related works
- Is referenced by
- 10.1101/2022.06.04.492123 (DOI)