dpeakFit: Fit dPeak model

Description Usage Arguments Details Value Author(s) See Also Examples

Description

Fit a deconvolution model.

Usage

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dpeakFit( object, ... )
## S4 method for signature 'DpeakData'
dpeakFit( object, 
	objectMotif=NULL, estDeltaSigma="common", init="localmax", 
	nTop=100, lbDelta = 25, lbSigma = 25,
    psize=21, maxComp=5, pConst=0.2, nCore=1, verbose=FALSE, iterInit=50, iterMain=25, epsilon=1e-6 )

Arguments

object

Object of class DpeakData, dPeak data imported using method dpeakRead.

objectMotif

Object of class DpeakMotif, motif data generated using method dpeakMotif. If incorporated, locations of binding events are initialized using motif information.

estDeltaSigma

Approach to estimate delta and sigma parameters for SET data. Possible values are either "common" (estimate single delta and sigma parameters that are used for all peaks) or "separate" (estimate delta and sigma parameters for each peak separately). Default is "common". Not relevant when PET data is used.

init

Approach to initialize locations of binding events. Possible values are "localmax" and "uniform". Default is "localmax".

nTop

Number of candidate regions used to estimate common delta and sigma estimates. Relevant only when estDeltaSigma="common".

lbDelta

Lower bound for delta parameter.

lbSigma

Lower bound for sigma parameter.

psize

Approximate size of the binding protein of interest.

maxComp

Maximum possible number of binding events in each peak region.

pConst

Value to determine the plateau in the BIC curve. Should be a value larger than zero and smaller than one.

nCore

Number of CPUs to be used when parallel computing is utilized.

verbose

Use verbose mode? Possible values are either TRUE (use) or FALSE (do not use).

iterInit

Iteration number for initial estimation of binding sites.

iterMain

Iteration number for main estimation of binding sites.

epsilon

Criterion to stop iteration for binding site estimation.

...

Other parameters to be passed through to generic dpeakFit.

Details

Parallel computing can be utilized for faster computation if parallel package is installed. Users can change the number of CPUs to be used by changing the argument nCore.

Value

Construct DpeakFit class object.

Author(s)

Dongjun Chung

See Also

dpeakRead, DpeakFit.

Examples

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data(exampleData)
exampleFit <- dpeakFit(exampleData, maxComp = 5)

dpeak documentation built on Nov. 8, 2020, 7:45 p.m.