dMatrix | R Documentation |
Estimating epimutation rates from high-throughput DNA methylation data
dMatrix(nodelist, cytosine, posteriorMaxFilter)
nodelist |
list of samples, you can find sample file in "extdata" called "nodelist.fn" |
cytosine |
Type of cytosine (CHH/CHG/CG) |
posteriorMaxFilter |
Filter value, based on posteriorMax ex: >= 0.95 or 0.99 |
generating divergence matrices file.
# Get some toy data file <- system.file("extdata/dm/","nodelist.fn", package="AlphaBeta") df<-read.csv(file) df$filename<-sub("^",paste0(dirname(file),"/"),df$filename ) write.csv(df, file = paste0(dirname(file),"tmp_nodelist.fn"),row.names=FALSE,quote=FALSE) file <- system.file("extdata/dm/","tmp_nodelist.fn", package="AlphaBeta") dMatrix(file, "CG", 0.99)
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