MosaicsFitEst-class: Class "MosaicsFitEst"

Description Objects from the Class Slots Author(s) References See Also Examples

Description

This class represents estimates of mosaicsFit function.

Objects from the Class

Objects can be created by calls of the form new("MosaicsFitEst", ...).

Slots

pi0:

Object of class "numeric", representing mixing proportion of background component.

a:

Object of class "numeric", representing parameter for background component.

betaEst:

Object of class "numeric", representing parameter for background component (coefficient estimates).

muEst:

Object of class "numeric", representing parameter for background component.

pNfit:

Object of class "list", representing background model fit.

b:

Object of class "numeric", representing parameter for one-signal-component model.

c:

Object of class "numeric", representing parameter for one-signal-component model.

p1:

Object of class "numeric", representing parameter for two-signal-component model (mixing proportion of signal components).

b1:

Object of class "numeric", representing parameter for two-signal-component model (the first signal component).

c1:

Object of class "numeric", representing parameter for two-signal-component model (the first signal component).

b2:

Object of class "numeric", representing parameter for two-signal-component model (the second signal component).

c2:

Object of class "numeric", representing parameter for two-signal-component model (the second signal component).

inputTrunc:

Object of class "numeric", representing parameter for input-only analysis (threshold for maximum tag count for matched control sample.

analysisType:

Object of class "character", representing type of data analysis.

Author(s)

Dongjun Chung, Pei Fen Kuan, Rene Welch, Sunduz Keles

References

Kuan, PF, D Chung, G Pan, JA Thomson, R Stewart, and S Keles (2011), "A Statistical Framework for the Analysis of ChIP-Seq Data", Journal of the American Statistical Association, Vol. 106, pp. 891-903.

Chung, D, Zhang Q, and Keles S (2014), "MOSAiCS-HMM: A model-based approach for detecting regions of histone modifications from ChIP-seq data", Datta S and Nettleton D (eds.), Statistical Analysis of Next Generation Sequencing Data, Springer.

See Also

mosaicsFit.

Examples

1
showClass("MosaicsFitEst")

mosaics documentation built on May 20, 2017, 10:40 p.m.

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