FDRcompute: FDRcompute: compute false discovery date by comparing...
In rakarnik/MICC: Model based Interaction Calling from ChIA-PET data

Description Usage Arguments Value Author(s) See Also Examples

This function is used to estimate false discovery date of MICC model by comparing posterior probability from real data and simulated data

1	FDRcompute(data_formatted, params, PostProb)

`data_formatted`	Formatted data matrix by "InputMatrixFormatted" function
`params`	Parameters after fitting MICC model. See "MICCMainLearn" for more details.
`PostProb`	Posterior probability that a PET cluster is true interaction clusters

A vector of estimated false discovery date.

Chao He

InputMatrixFormatted, MICC_1.0-package.

library(MICC)

## Import data
data(TestData)

# format the data
data_formatted <- InputMatrixFormatted(TestData)

# train the model
Par <- MICCMainLearn( data_formatted, reltol=1e-5, step=200 )

# compute FDR
params <- Par$params
PostProb <- Par$PostProb
fdr <- FDRcompute( data_formatted, params, PostProb[,1] )

## The function is currently defined as
function (data_formatted, params, PostProb) 
{
    fdr <- FDRestimate(data, params, PostProb)
    fdr
  }