Description Usage Arguments Details Value Author(s) References Examples
Display methods for BioVector, SpectrumKernel, MismatchKernel, GappyPairKernel, MotifKernel, SymmetricPairKernel, ExplicitRepresentationDense, ExplicitRepresentationSparse, PredictionProfile, CrossValidationResult, ModelSelectionResult, SVMInformation and KBModel objects
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | show.BioVector(object)
## S4 method for signature 'PredictionProfile'
show(object)
## S4 method for signature 'SpectrumKernel'
show(object)
## S4 method for signature 'MismatchKernel'
show(object)
## S4 method for signature 'MotifKernel'
show(object)
## S4 method for signature 'GappyPairKernel'
show(object)
## S4 method for signature 'SymmetricPairKernel'
show(object)
## S4 method for signature 'ExplicitRepresentationDense'
show(object)
## S4 method for signature 'ExplicitRepresentationSparse'
show(object)
## S4 method for signature 'CrossValidationResult'
show(object)
## S4 method for signature 'ModelSelectionResult'
show(object)
## S4 method for signature 'SVMInformation'
show(object)
## S4 method for signature 'KBModel'
show(object)
## S4 method for signature 'ROCData'
show(object)
|
object |
object of class BioVector, PredictionProfile, SpectrumKernel, MismatchKernel, GappyPairKernel, MotifKernel, SymmetricPairKernel, ExplicitRepresentation, ExplicitRepresentationSparse, PredictionProfile, CrossValidationResult, ModelSelectionResult, SVMInformation or KBModel to be displayed |
show
displays on overview of the selected object.
show
: show returns an invisible NULL
Johannes Palme <kebabs@bioinf.jku.at>
http://www.bioinf.jku.at/software/kebabs
J. Palme, S. Hochreiter, and U. Bodenhofer (2015) KeBABS: an R package
for kernel-based analysis of biological sequences.
Bioinformatics, 31(15):2574-2576, 2015.
DOI: 10.1093/bioinformatics/btv176.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ## load coiled coil data
data(CCoil)
## show amino acid sequences
ccseq
## define spectrum kernel object
specK1 <- spectrumKernel(k=1, normalized=FALSE)
## show kernel object
show(specK1)
## compute explicit representation for the first 5 sequences
## in dense format
er <- getExRep(ccseq, specK1, sel=1:5, sparse=FALSE)
## show dense explicit representation
show(er)
|
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