dispCoxReidInterpolateTagwise(y, design, offset=NULL, dispersion, trend=TRUE, AveLogCPM=NULL, min.row.sum=5, prior.df=10, span=0.3, grid.npts=11, grid.range=c(-6,6), weights=NULL)
offsetmust be a matrix with the same dimension as the table of counts.
getPriorN(object)gives a value for
prior.nthat is equivalent to giving the common likelihood 20 prior degrees of freedom in the estimation of the genewise dispersion.
log2(dispersion), on either side of trendline for each gene for spline grid points.
dispCoxReidInterpolateTagwiseis a low-level function called by
dispCoxReidInterpolateTagwise calls the function
maximizeInterpolant to fit cubic spline interpolation over a genewise grid.
Note that the terms `tag' and `gene' are synonymous here. The function is only named `Tagwise' for historical reasons.
McCarthy, DJ, Chen, Y, Smyth, GK (2012). Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation. Nucleic Acids Research 40, 4288-4297. http://nar.oxfordjournals.org/content/40/10/4288