Data from: A methylation-to-expression feature model for generating accurate prognostic risk scores and identifying disease targets in clear cell kidney cancer

Thompson JA, Marsit CJ

Date Published: January 25, 2017

DOI: http://dx.doi.org/10.5061/dryad.b1t61

 

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Title Supplementary File 1
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Description Supplementary methods, tables, and figures.
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Title Supplementary File 2
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Description Gene set network enrichment of M2EFM gene signature for clear cell renal cell carcinoma. Results from Web Gestalt.
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Title Supplementary File 3
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Description GO enrichment analysis of M2EFM gene signature for clear cell renal cell carcinoma. Results from Web Gestalt.
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When using this data, please cite the original publication:

Thompson JA, Marsit CJ (2017) Data from: A methylation-to-expression feature model for generating accurate prognostic risk scores and identifying disease targets in clear cell kidney cancer. Pacific Symposium on Biocomputing 22:509-520. http://dx.doi.org/10.1142/9789813207813_0047

Additionally, please cite the Dryad data package:

Thompson JA, Marsit CJ (2017) Data from: A methylation-to-expression feature model for generating accurate prognostic risk scores and identifying disease targets in clear cell kidney cancer. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.b1t61
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