varBeta

vector with components between 0 and 1

value between 0 and 0.5 used as trim parameter

trim.opt

This is an internal function. 
Given a vector with values between 0 and 1 and assumed to
come from a beta distribution, this function return the variance of 
the distribution. A trim parameter allow to have a robust value

A fold change rank based method is presented to search for genes with changing
expression and to detect recurrent chromosomal copy number aberrations. This
method may be useful for high-throughput biological data (micro-array, sequencing, ...).
Probabilities are associated with genes or probes in the data set and there is no
problem of multiple tests when using this method. For array-based comparative genomic
hybridization data, segmentation results are obtained by merging the significant
probes detected.

varBeta: Compute variance of a beta distribution from data

Description

Usage

Arguments

Value

References

Examples