rc: Renal Cell Carcinoma Proteomics Data Set
In lr98769/doppelgangerIdentifier: Identifies Doppelgangers Between Datasets With PPCC And Meta data
rc R Documentation
Renal Cell Carcinoma Proteomics Data Set
Description
A benchmark proteomics data taken from the NetProt software library.The renal cell carcinoma (RCC) study of Guo et al.
comprises 24 proteomics runs originating from 6 pairs of non-tumorous and tumorous clear-cell renal carcinoma (ccRCC)
tissues, 4 proteomics runs originating from a pair of non-tumorous and tumorous chromophobe renal carcinoma (chRCC)
tissues and 8 proteomics run originating from two pairs of non-tumorous and tumorous papillary renal carcinoma (ppRCC)
tissues, in duplicates.
Usage
data(rc)
Format
A data frame with 36 samples (columns) and 3126 UniProt ID variables (rows):
Source
https://dx.doi.org/10.1038%2Fnm.3807
References
Guo T, Kouvonen P, Koh CC et al. Rapid mass spectrometric conversion of tissue biopsy samples into permanent quantitative digital proteome maps, Nature medicine 2015;21:407-413.
lr98769/doppelgangerIdentifier documentation built on Aug. 2, 2022, 9:41 a.m.
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| rc | R Documentation |
Renal Cell Carcinoma Proteomics Data Set
Description
A benchmark proteomics data taken from the NetProt software library.The renal cell carcinoma (RCC) study of Guo et al. comprises 24 proteomics runs originating from 6 pairs of non-tumorous and tumorous clear-cell renal carcinoma (ccRCC) tissues, 4 proteomics runs originating from a pair of non-tumorous and tumorous chromophobe renal carcinoma (chRCC) tissues and 8 proteomics run originating from two pairs of non-tumorous and tumorous papillary renal carcinoma (ppRCC) tissues, in duplicates.
Usage
data(rc)
Format
A data frame with 36 samples (columns) and 3126 UniProt ID variables (rows):
Source
https://dx.doi.org/10.1038%2Fnm.3807
References
Guo T, Kouvonen P, Koh CC et al. Rapid mass spectrometric conversion of tissue biopsy samples into permanent quantitative digital proteome maps, Nature medicine 2015;21:407-413.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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