GeneSampPancreas: Data from the Jones et al. 2008 study: Number of samples for...
In CancerMutationAnalysis: Cancer mutation analysis
Description
Usage
Format
References
See Also
Description
Number of samples analyzed for each gene and
screen type from the
Jones et al. 2008 pancreatic cancer study.
Usage
1
data(JonesPancreas08)
Format
The number of samples in the pancreatic cancer study from Jones et
al., broken down by
gene and screen (Discovery and Prevalence).
The object is a data frame, with the variables:
Gene, Screen, and NrSamp (number of samples).
The two possible values for Screen are Disc ("Discovery")
and Prev ("Prevalence").
References
Jones S, Zhang X, Parsons DW, Lin JC, Leary RJ, Angenendt P, Mankoo P,
Carter H, Kamiyama H, Jimeno A, et al.
Core signaling pathways in human pancreatic cancers revealed by global
genomic analyses.
Science. DOI: 10.1126/science.1164368
Parmigiani G, Lin J, Boca S, Sjoeblom T, Kinzler KW,
Velculescu VE, Vogelstein B. Statistical methods for the analysis of
cancer genome sequencing data.
http://www.bepress.com/jhubiostat/paper126/
See Also
cma.scores, cma.fdr,
cma.set.stat, cma.set.sim,
SimMethodsSims-class,
GeneAlterPancreas,
GeneCovPancreas
CancerMutationAnalysis documentation built on Nov. 8, 2020, 6:47 p.m.
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Description Usage Format References See Also
Description
Number of samples analyzed for each gene and screen type from the Jones et al. 2008 pancreatic cancer study.
Usage
1 | data(JonesPancreas08)
|
Format
The number of samples in the pancreatic cancer study from Jones et al., broken down by gene and screen (Discovery and Prevalence). The object is a data frame, with the variables: Gene, Screen, and NrSamp (number of samples). The two possible values for Screen are Disc ("Discovery") and Prev ("Prevalence").
References
Jones S, Zhang X, Parsons DW, Lin JC, Leary RJ, Angenendt P, Mankoo P, Carter H, Kamiyama H, Jimeno A, et al. Core signaling pathways in human pancreatic cancers revealed by global genomic analyses. Science. DOI: 10.1126/science.1164368
Parmigiani G, Lin J, Boca S, Sjoeblom T, Kinzler KW, Velculescu VE, Vogelstein B. Statistical methods for the analysis of cancer genome sequencing data. http://www.bepress.com/jhubiostat/paper126/
See Also
cma.scores, cma.fdr,
cma.set.stat, cma.set.sim,
SimMethodsSims-class,
GeneAlterPancreas,
GeneCovPancreas
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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