Description Usage Arguments Value Author(s) References See Also Examples
Extract estimates from MosaicsFit class object, which is a fitted MOSAiCS model.
1 2 3  | 
object | 
 Object of class   | 
... | 
  Other parameters to be passed through to generic   | 
Returns a list with components:
pi0 | 
 Mixing proportion of background component.  | 
a | 
 Parameter for background component.  | 
betaEst | 
 Parameter for background component (coefficient estimates).  | 
muEst | 
 Parameter for background component.  | 
b | 
 Parameter for one-signal-component model.  | 
c | 
 Parameter for one-signal-component model.  | 
p1 | 
 Parameter for two-signal-component model (mixing proportion of signal components).  | 
b1 | 
 Parameter for two-signal-component model (the first signal component).  | 
c1 | 
 Parameter for two-signal-component model (the first signal component).  | 
b2 | 
 Parameter for two-signal-component model (the second signal component).  | 
c2 | 
 Parameter for two-signal-component model (the second signal component).  | 
analysisType | 
 Analysis type. Possible values are "OS" (one-sample analysis), "TS" (two-sample analysis using mappability and GC content), and "IO" (two-sample analysis without using mappability and GC content).  | 
Dongjun Chung, Pei Fen Kuan, Rene Welch, Sunduz Keles
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.
1 2 3 4 5 6 7  | ## Not run: 
library(mosaicsExample)
data(exampleBinData)
exampleFit <- mosaicsFit( exampleBinData, analysisType="IO" )
estimates(exampleFit)
## End(Not run)
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