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WriteGeneSets
EwoudEwing edited this page May 10, 2019
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2 revisions
Exports the pathways into a csv file
WriteGeneSets(Object, file_location = "~/Project9/test/", name = "IPA_20181123", write = "Both")
Object is a PathwayObject.
file_location where to write the files to
name name to be added to the files, what experiments are these
write what to write, either "Data", "RR" or "Both"
Value written tables in the folder designated.
IPA.files <- c(system.file("extdata",
"MM10.IPA.KO.uGvsMac.Canonical_pathways.xls",
package = "GeneSetCluster"),
system.file("extdata",
"MM10.IPA.WT.uGvsMac.Canonical_pathways.xls",
package = "GeneSetCluster"),
system.file("extdata",
"MM10.IPA.KO.uGvsMac.Functional_annotations.xls",
package = "GeneSetCluster"),
system.file("extdata",
"MM10.IPA.WT.uGvsMac.Functional_annotations.xls",
package = "GeneSetCluster"))
canonical.files <- IPA.files[grep("Canonical", IPA.files)]
IPA.object1 <- LoadGeneSets(file_location = canonical.files,
groupnames= c("KO", "WT"),
P.cutoff = 1.3,
Mol.cutoff = 5,
Source = "IPA",
type = "Canonical_Pathways",
structure = "SYMBOL",
seperator = ",")
IPA.object2 <- CombineGeneSets(Object = IPA.object1)
IPA.object3 <- ClusterGeneSets(Object = IPA.object2,
clusters = 12,
method = "kmeans")
WriteGeneSets(Object= IPA.object3,
file_location = getwd(),
name = "IPA_20181123", write = "Both")
Example Script: Example
Step 1A: Loading the data
Step 1B: Creating an Object
Step 2: Combine and Cluster
Step 2B: User supplied distance function
Step 2C: Highlighting-Genes
Step 3: Exporting Data
Step 4: Functional Investigation
Video: Step-by-step user guide