runModelFits: Run model fitting on all tiles in all given conditions
In jweile/tileseqMave: TileSeq MAVE Analysis pipeline
runModelFits R Documentation
Run model fitting on all tiles in all given conditions
Description
Run model fitting on all tiles in all given conditions
Usage
runModelFits(msc, condNames, tiles, mc.cores)
Arguments
msc
dataframe containing the output of the 'mean.sd.count()' function.
condNames
the condition names
tiles
vector of tile assignments for each row in msc
mc.cores
the number of CPU cores to use in parallel
jweile/tileseqMave documentation built on April 5, 2024, 4:51 p.m.
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| runModelFits | R Documentation |
Run model fitting on all tiles in all given conditions
Description
Run model fitting on all tiles in all given conditions
Usage
runModelFits(msc, condNames, tiles, mc.cores)
Arguments
msc |
dataframe containing the output of the 'mean.sd.count()' function. |
condNames |
the condition names |
tiles |
vector of tile assignments for each row in msc |
mc.cores |
the number of CPU cores to use in parallel |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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