ratiometric.binom.false.pos: calculates the false positives for a binomial model of a...

In KarchinLab/cancerSeqStudy: Power and False Positive Analysis of Cancer Sequencing Studies

Description

calculates the false positives for a binomial model of a ratio-metric feature.

Usage

ratiometric.binom.false.pos(my.alpha, my.beta, N, mu, Leff = 1500 * 3/4,
  num.genes = 18500, signif.level = 5e-06, nonsil.frac = 3/4)

Arguments

my.alpha	alpha parameter for beta binomial
my.beta	beta parameter for beta binomial
N	vector of # samples to calculate power for
mu	mutation rate per base
Leff	efective gene CDS length in bases
num.genes	number of genes that are tested
signif.level	alpha level for power analysis
nonsil.frac	fraction of mutations which are non-silent

Value

vector containing expected false positive genes

KarchinLab/cancerSeqStudy documentation built on May 8, 2019, 4:47 p.m.