scoredf_ccle_epi: Pre-computed scores of the CCLE dataset against an epithelial...
In DavisLaboratory/singscore: Rank-based single-sample gene set scoring method
scoredf_ccle_epi R Documentation
Pre-computed scores of the CCLE dataset against an epithelial gene
signature
Description
This data.frame stores pre-computed scores of the CCLE dataset Barretina et al calculated using the
simpleScore() function against the epithelial gene signature from Tan, Tuan Zea et al. The
data.frame has scores for 55 samples. Please refer to the vignettes for
instructions on how to obtain the full datasets.
Usage
scoredf_ccle_epi
Format
An object of class data.frame with 55 rows and 2 columns.
References
Barretina, Jordi, Giordano Caponigro, Nicolas Stransky, Kavitha
Venkatesan, Adam A Margolin, Sungjoon Kim, Christopher J Wilson, et al.
2012. “The Cancer Cell Line Encyclopedia Enables Predictive Modelling of
Anticancer Drug Sensitivity.” Nature 483 (7391): 603–7.
Tan, Tuan Zea, Qing Hao Miow, Yoshio Miki, Tetsuo Noda, Seiichi Mori, Ruby
Yun-Ju Huang, and Jean Paul Thiery. 2014–10AD. “Epithelial-Mesenchymal
Transition Spectrum Quantification and Its Efficacy in Deciphering Survival
and Drug Responses of Cancer Patients.” EMBO Molecular Medicine 6 (10).
Oxford, UK: BlackWell Publishing Ltd: 1279–93. doi:10.15252/emmm.201404208.
See Also
scoredf_ccle_mes
DavisLaboratory/singscore documentation built on Nov. 21, 2024, 8:17 a.m.
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| scoredf_ccle_epi | R Documentation |
Pre-computed scores of the CCLE dataset against an epithelial gene signature
Description
This data.frame stores pre-computed scores of the CCLE dataset Barretina et al calculated using the
simpleScore() function against the epithelial gene signature from Tan, Tuan Zea et al. The
data.frame has scores for 55 samples. Please refer to the vignettes for
instructions on how to obtain the full datasets.
Usage
scoredf_ccle_epi
Format
An object of class data.frame with 55 rows and 2 columns.
References
Barretina, Jordi, Giordano Caponigro, Nicolas Stransky, Kavitha Venkatesan, Adam A Margolin, Sungjoon Kim, Christopher J Wilson, et al. 2012. “The Cancer Cell Line Encyclopedia Enables Predictive Modelling of Anticancer Drug Sensitivity.” Nature 483 (7391): 603–7.
Tan, Tuan Zea, Qing Hao Miow, Yoshio Miki, Tetsuo Noda, Seiichi Mori, Ruby Yun-Ju Huang, and Jean Paul Thiery. 2014–10AD. “Epithelial-Mesenchymal Transition Spectrum Quantification and Its Efficacy in Deciphering Survival and Drug Responses of Cancer Patients.” EMBO Molecular Medicine 6 (10). Oxford, UK: BlackWell Publishing Ltd: 1279–93. doi:10.15252/emmm.201404208.
See Also
scoredf_ccle_mes
R Package Documentation
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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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