GeneSampColon

Number of samples analyzed for each gene and 
  screen type from the colon cancer portion of the Wood et al. 2007
  and Sjoeblom et al. 2006 studies.

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

GeneSampColon function

The number of samples in the colon cancer portions of the
  Wood et al. and Sjoeblom et al. studies, 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").

GeneSampColon: Data from the Wood et al. 2007 study: Number of samples for each gene and screen type

Description

Usage

Arguments

Format

References

See Also