Man pages for MLSeq
Machine Learning Interface for RNA-Seq Data

Available-classifiers	Available classification/regression methods in 'MLSeq'
cervical	Cervical cancer data
classify	Fitting classification models to sequencing data
confusionMat	Accessors for the 'confusionMat' slot.
control	Accessors for the 'control' slot.
discreteControl	Define controlling parameters for discrete classifiers (NBLDA...
discrete.train-class	'discrete.train' object
input	Accessors for the 'inputObject' slot of an 'MLSeq' object
isUpdated	Checks if MLSeq object is updated/modified or not.
metaData	Accessors for the 'metaData' slot of an 'MLSeq' object
method	Accessors for the 'method'.
MLSeq-class	'MLSeq' object
MLSeqMetaData-class	'MLSeqMetaData' object
MLSeqModelInfo-class	'MLSeqModelInfo' object
MLSeq-package	Machine learning interface for RNA-Seq data
modelInfo	Accessors for the 'modelInfo' slot of an 'MLSeq' object
normalization	Accessors for the 'normalization' slot.
plot	Plot accuracy results from 'MLSeq' object
predict	Extract predictions from 'classify()' object
preProcessing	Accessors for the 'preProcessing' slot of an 'MLSeq' object
print	Print method for confusion matrix
ref	Accessors for the 'ref' slot.
selectedGenes	Accessors for the 'selectedGenes'.
show	Show method for MLSeq objects
trained	Accessors for the 'trainedModel' slot.
trainParameters	Accessors for the 'trainParameters' slot.
transformation	Accessors for the 'transformation' slot.
update	Update 'MLSeq' objects returnd from 'classify()'
voomControl	Define controlling parameters for voom-based classifiers
voom.train-class	'voom.train' object