GeneSampGBM

Number of samples analyzed for each gene and 
  screen type from the
  Parsons et al. 2008 glioblastoma multiforme (GBM) study.

datasets

This package implements gene and gene-set level analysis
methods for somatic mutation studies of cancer.  The gene-level
methods distinguish between driver genes (which play an active
role in tumorigenesis) and passenger genes (which are mutated
in tumor samples, but have no role in tumorigenesis) and
incorporate a two-stage study design.  The gene-set methods
implement a patient-oriented approach, which calculates
gene-set scores for each sample, then combines them across
samples; a gene-oriented approach which uses the Wilcoxon test
is also provided for comparison.

Simina M Boca

CancerMutationAnalysis

Cancer mutation analysis

GeneSampGBM function

The number of samples in the GBM study from Parsons et al.,
  broken down by
  <em>gene</em> and <em>screen</em> (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").

GeneSampGBM: Data from the Parsons et al. 2008 study: Number of samples for each gene and screen type

Description

Usage

Arguments

Format

References

See Also