smg.binom.false.pos: calculates the false positives in a binomial model for...
In KarchinLab/cancerSeqStudy: Power and False Positive Analysis of Cancer Sequencing Studies
Description
calculates the false positives in a binomial model
for identifying significantly mutated genes if
there is over-diserspion.
Usage
1
2
smg.binom.false.pos(my.alpha, my.beta, N, Leff = 1500 * 3/4,
num.genes = 18500, signif.level = 5e-06)
Arguments
my.alpha
alpha parameter for beta binomial
my.beta
beta parameter for beta binomial
N
vector of # samples to calculate power for
Leff
effective gene length in bases
num.genes
number of genes that are tested
signif.level
alpha level for power analysis
KarchinLab/cancerSeqStudy documentation built on May 8, 2019, 4:47 p.m.
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Description
calculates the false positives in a binomial model for identifying significantly mutated genes if there is over-diserspion.
Usage
1 2 | smg.binom.false.pos(my.alpha, my.beta, N, Leff = 1500 * 3/4,
num.genes = 18500, signif.level = 5e-06)
|
Arguments
my.alpha |
alpha parameter for beta binomial |
my.beta |
beta parameter for beta binomial |
N |
vector of # samples to calculate power for |
Leff |
effective gene length in bases |
num.genes |
number of genes that are tested |
signif.level |
alpha level for power analysis |
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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