predict.pts: Method to apply principal curve to new observations
In staaln/pathtracer:
predict.pts R Documentation
Method to apply principal curve to new observations
Description
Method to apply principal curve to new observations
Usage
## S3 method for class 'pts'
predict(obj, newdata, normalize = T)
Arguments
obj
output from compute.pts
newdata
expression data (genes in pathway x samples)
normalize
Boolean variable indicating whether normalization (substraction by mean, and division by standard deviation) of the rows (genes) should be applied
Value
A list of pathtracer (pts), pathifier (pds) and p-value
staaln/pathtracer documentation built on March 17, 2022, 7:44 p.m.
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| predict.pts | R Documentation |
Method to apply principal curve to new observations
Description
Method to apply principal curve to new observations
Usage
## S3 method for class 'pts' predict(obj, newdata, normalize = T)
Arguments
obj |
output from compute.pts |
newdata |
expression data (genes in pathway x samples) |
normalize |
Boolean variable indicating whether normalization (substraction by mean, and division by standard deviation) of the rows (genes) should be applied |
Value
A list of pathtracer (pts), pathifier (pds) and p-value
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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