A Hybrid Feature Selection method for gene expression data


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Documentation for package ‘mAPKL’ version 1.4.2

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mAPKL-package A hybrid feature selection method for gene expression data
Annot Class "Annot"
Annot-class Class "Annot"
annotate Genome annotation of the "exemplars".
classification Classify samples according to the SVM algorithm
Classify Class "Classify"
Classify-class Class "Classify"
DataLD Class "DataLD"
DataLD-class Class "DataLD"
loadFiles Imports gene expression data
mAPKL The mAP-KL algorithm
mAPKLRes Class "mAPKLRes"
mAPKLRes-class Class "mAPKLRes"
metrics Computes several clasification metrics
NetAttr Class "NetAttr"
NetAttr-class Class "NetAttr"
netwAttr Calculates network characteristics
preprocess Performs normalization and/or log2 transformation
probes2pathways Extract pathways from "exemplars"
report Produce an HTML report of the mAP-KL analysis
sampling Splits a dataset to a train and a test sets of a user defined percentage