Description Usage Arguments Details Value Author(s) References See Also Examples
View source: R/methylation_preprocessing.R
Produce GEO Sample Submission File in the SOFT format based on the provided MethyLumiM object and sample information
1 |
methyLumiM |
The normalized data in MethyLumiM class |
methyLumiM.raw |
The raw data in MethyLumiM class |
lib.mapping |
Currently not used for Illumina methylation data |
idType |
Currently no other options for Illumina methylation data |
sampleInfo |
The sample information filename or data.frame, which is returned by |
fileName |
The file name of GEO Submission file |
supplementaryRdata |
determine whether produce the Rdata supplement data, which include both methyLumiM and methyLumiM.raw R objects. |
... |
other parameters used by function |
The function produces the GEO sample submission file including both normalized and raw data information in the SOFT format. The sample information should be provided by the user as a data.frame or Tab separated text file following the format of the template, which can be produced by function produceGEOSampleInfoTemplate. Users need to fill in the detailed sample descriptions in the template, especially the Sample\_title, Sample\_description and some protocols. Users are also required to fill in the "Sample\_platform\_id" by checking information of the GEO Illumina platform.
When the parameter "supplementaryRdata" is TRUE, the R objects, methyLumiM, methyLumiM.raw and sampleInfo, will be saved in a file named 'supplementaryData.Rdata'.
Save the result as a text file in SOFT sample submission format. The supplementary Rdata will be saved in a file 'supplementaryData.Rdata'.
Pan Du
http://www.ncbi.nlm.nih.gov/projects/geo/info/soft2.html
produceGEOSampleInfoTemplate, produceGEOPlatformFile
1 2 3 4 5 | ## Not run
## Produce the sample information template
# produceGEOSampleInfoTemplate(methyLumiM, fileName = "GEOsampleInfo.txt")
## After editing the 'GEOsampleInfo.txt' by filling in sample information
# produceMethylationGEOSubmissionFile(methyLumiM, methyLumiM.raw, sampleInfo='GEOsampleInfo.txt')
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