For classification, this is the main class for the MLSeq package.
● Data Source:
BioConductor
● Keywords:
● Alias: MLSeq-class
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This package applies several machine learning methods, including SVM, bagSVM, Random Forest and CART, to RNA-Seq data.
● Data Source:
BioConductor
● Keywords:
● Alias: MLSeq-package
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Cervical cancer data measures the expressions of 714 miRNAs of human samples. There are 29 tumor and 29 non-tumor cervical samples and these two groups are treated as two separete classes.
● Data Source:
BioConductor
● Keywords:
● Alias: cervical
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This function fits classification algorithms to sequencing data and measures model performances using various statistics
● Data Source:
BioConductor
● Keywords: RNA-seq classification
● Alias: classify
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confusionMat-methods
(Package: MLSeq) :
Accessors for the 'confusionMat' slot of an MLSeq object
Confusion matrix for the trained model using classify function.
● Data Source:
BioConductor
● Keywords:
● Alias: confusionMat, confusionMat,MLSeq-method
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Used transformation method for the trained model using classify function.
● Data Source:
BioConductor
● Keywords:
● Alias: deseqTransform, deseqTransform,MLSeq-method
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method-methods
(Package: MLSeq) :
Accessors for the 'method' slot of an MLSeq object
Used classification method for the trained model using classify function.
● Data Source:
BioConductor
● Keywords:
● Alias: method, method,MLSeq-method
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normalization-methods
(Package: MLSeq) :
Accessors for the 'normalization' slot of an MLSeq object
Used normalization method for the trained model using classify function.
● Data Source:
BioConductor
● Keywords:
● Alias: normalization, normalization,MLSeq-method
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This function predicts the class labels of test data for a given model.
● Data Source:
BioConductor
● Keywords:
● Alias: predictClassify
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ref-methods
(Package: MLSeq) :
Accessors for the 'ref' slot of an MLSeq object
The reference class category for the trained model using classify function.
● Data Source:
BioConductor
● Keywords:
● Alias: ref, ref,MLSeq-method
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