inst/doc/bnbc.R

## ----dependencies, warning=FALSE, message=FALSE----------------------------
library(bnbc)

## ----dataLoad--------------------------------------------------------------
data(cgEx)
cgEx

## ----create----------------------------------------------------------------
cgEx <- ContactGroup(rowData=rowData(cgEx),
                     contacts=contacts(cgEx),
                     colData=colData(cgEx))

## ----print-----------------------------------------------------------------
cgEx

## ----contactTriang---------------------------------------------------------
mat <- matrix(1:9, nrow = 3, ncol = 3)
mat[lower.tri(mat)] <- 0
mat
## Now we fill in the lower triangular matrix with the upper triangular
mat[lower.tri(mat)] <- mat[upper.tri(mat)]
mat

## ----data_to_bnbc, eval=FALSE, echo=TRUE-----------------------------------
#  ## Example not run
#  ## Convert upper triangles to symmetry matrix
#  MatsList <- lapply(upper.mats.list, function(M) {
#      M[lower.tri(M)] <- M[upper.tri(M)]
#  })
#  ## Use ContactGroup constructor method
#  cg <- ContactGroup(rowData = LociData, contacts = MatsList, colData = SampleData)

## ----band_example----------------------------------------------------------
mat.1 <- contacts(cgEx)[[1]]
mat.1[1000:1005, 1000:1005]
b1 <- band(mat=mat.1, band.no=2)
band(mat=mat.1, band.no=2) <- b1 + 1
mat.1[1000:1005, 1000:1005]

## ----logcpm----------------------------------------------------------------
cgEx.cpm <- logCPM(cgEx)

## ----smoothing-------------------------------------------------------------
cgEx.smooth <- boxSmoother(cgEx.cpm, h=5)
## or
## cgEx.smooth <- gaussSmoother(cgEx.cpm, radius=3, sigma=4)

## ----bnbc------------------------------------------------------------------
cgEx.bnbc <- bnbc(cgEx.smooth, batch=colData(cgEx.smooth)$Batch,
                  threshold=1e7, step=4e4, nbands=11, verbose=FALSE)

## ----sessionInfo, echo=FALSE-----------------------------------------------
sessionInfo()

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bnbc documentation built on Nov. 1, 2018, 2:37 a.m.