samples.combine takes RNA bisulfite sequencing samples as input, combines their p-values using Fisher's method, and produces median and standard error of the bisulfite non-conversion ratios.
samples.combine(BisXP1,...)
Arguments
BisXP1: A BisXP object containing non-conversion ratio and p-value
...: One or more additional samples, in the form of BisXP objects
Returns
This function returns a data frame whose row names correspond to the RNA and C position which are present in all samples, and the following variables:
p.adj.combined: p-value adjusted (done in the preparation of the BisXP object) and combined (done here)
nonconv.ratio.med: Median of bisulfite non-conversion ratio for a specific RNA and C positions
nonconv.ratio.se: Standard error of bisulfite non-conversion ratio for a specific RNA and C positions
Details
This function takes several bisulfite sequencing samples, in form of BisXP objects, as inputs. It is recommended to provide at least 3 samples and in any case all available, relevant samples. Using RNA and C positions present in all samples, the adjusted p-values of each sample are combined using Fisher's method. Median and standard error of the non-conversion ratio are also given in output.
Examples
## Load data data(Bisdata,package="BisRNA")## Obtain the ratio (Poisson parameter / coverage), and p-values## adjusted for multiple testing using BH (here) or IHW method. lambda1 <- RNAmeth.poisson.par(Bisdata1)$estimate
BisXP1 <- RNAmeth.poisson.test(Bisdata1,lambda1,method="BH") lambda2 <- RNAmeth.poisson.par(Bisdata2)$estimate
BisXP2 <- RNAmeth.poisson.test(Bisdata2,lambda2,method="BH") lambda3 <- RNAmeth.poisson.par(Bisdata3)$estimate
BisXP3 <- RNAmeth.poisson.test(Bisdata3,lambda3,method="BH")## Combine samples BisXP.combined <- samples.combine(BisXP1,BisXP2,BisXP3)
References
Fisher RA (1925) Statistical Methods for Research Workers. Edinburg: Oliver and Boyd.
Fisher RA (1948) Questions and Answers #14. In: Mosteller F, Fisher RA (1948) The American Statistician, 2:30-31 http://www.jstor.org/stable/2681650