Comments (3)
Thanks, good idea! There is no official API at the moment, but you can check the source file global.R and try to run the functions plotPCA
and plotHeatmap
separately. The variable data$inputSaved
contains all parameters that are given to the functions.
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Just to let you know that I am in the process of refactoring the code, it is not yet made into a package (no documentation yet etc.), but you can try it out and let me know if you have any comments. You can use something like this to generate the plots:
source("https://raw.githubusercontent.com/taunometsalu/ClustVis/master/global_package.R")
d = importData("~/Downloads/0_myfile.csv")
proc = processData(d)
#pca:
pca = generatePCA(proc)
savePCA(pca, file = "~/Downloads/0_pca.pdf")
#hm:
hm = generateHeatmap(proc)
saveHeatmap(hm, file = "~/Downloads/0_hm.pdf")
from clustvis.
The code is now built into a proper R package, see title page of this repo for details.
from clustvis.
Related Issues (17)
- Gene-based annotations HOT 1
- Separator/break HOT 5
- Disconnected from server HOT 4
- Browser open sample welcome page HOT 3
- better examples when using straight from R HOT 2
- clustvis HOT 1
- problem with clustvis HOT 1
- Help with running from Docker image install HOT 3
- Getting PC variance percents HOT 1
- Provide missing annotation and pathway files HOT 1
- Application failed to start HOT 5
- Cannot access http://biit.cs.ut.ee/clustvis/ HOT 4
- Need new function to pull out list of entries HOT 1
- http://biit.cs.ut.ee/clustvis/ not working HOT 4
- Too many open devices error HOT 1
- Disconnect from the server after uploading HOT 2
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