normalizeCel | R Documentation |
Function processes the CEL files from each chip type (three for CMap2 data) separately using the MAS5 normalization algorithm. The results will be written to subdirectores (under a data parent directory) that are named after the chip type names. To reduce the memory consumption of this step, the CEL files are processed in user definable batch sizes. For details on the overall workflow, please consult the vignette of this package. The normalization takes about 10 hours without parallelization. To save time, this process can be easily accelerated on a computer cluster.
normalizeCel(chiptype_list, batchsize = 300, rerun = TRUE)
chiptype_list |
list, storing CEL files in each chiptype |
batchsize |
number of CEL files to import and to normalize at once |
rerun |
TRUE or FALSE, whether to run the function |
Files storing normalized expression values in matrix, here one matrix file per chip type
# chiptype_list <- split(names(chiptype), as.character(chiptype))
normalizeCel(chiptype_list, rerun=FALSE)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.