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occugene (version 1.32.0)

unbiasB0: Unbiased Estimator of the Number of Non-essential ORFs

Description

Unbiased point estimate and confidence intervals for the number of non-essential ORFs.

Usage

unbiasB0(anno,clone,iter=1000,seed=NULL,alpha=0.05,TR=TRUE)

Arguments

anno
2-column matrix of annotation
clone
Vector of insertions
iter
Number of iterations for the bootstrap
seed
Seed for the random number generator
alpha
Type I error
TR
Report a trace

Value

b0
Unbiased point estimate
CI
Confidence interval at the alpha specified

Details

Fits a parametric function to the cumulative occupancy distribution. Uses a parametric bootstrap to correct for bias and find confidence intervals for the number of non-essential ORFs.

References

See the book chapter O. Will (**) in **

See Also

fFit

Examples

Run this code
data(sampleAnnotation)
data(sampleInsertions)
anno <- cbind(sampleAnnotation$first,sampleAnnotation$last)
clone <- sampleInsertions$position
TR <- TRUE
iter <- 10
seed <- 4
unbiasB0(anno,clone,iter,seed,TR=TR)

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