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mlDNA (version 1.1)
Machine Learning-based Differential Network Analysis of Transcriptome Data
Description
Functions necessary to perform the machine learning-based differential network analysis of transcriptome data.
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Version
Version
1.1
1.0
Install
install.packages('mlDNA')
Monthly Downloads
5
Version
1.1
License
GPL (>= 2)
Maintainer
Chuang Ma
Last Published
November 19th, 2013
Functions in mlDNA (1.1)
Search all functions
PSOL_NegativeExpansion
Negative expansion
cross_validation
Cross validation method
PSOL_ResultExtraction
PSOL result extraction
randomSeed
Random seed generator
AverageRankScore
Average-based rank score
geneRanker
Gene Ranking
predictor
Prediction
optimalScore
Identifying optimal prediction score
netFeatureMatrix
Generating network feature matrix
PSOL_InitialNegativeSelection
Initial negative set selection for building machine learning-based classification model
classifier
Building machine learning-based classification models
mlDNA-package
Machine Learning-based Differential Network Analysis
ConditionSpecificGenes
Condition specifically expressed genes
expFeatureMatrix
Expression-based feature matrix
ConvergenceDegree
Calculating covergence degree
interactionRemoval
interation-removal method
exp2net
Inferring transcriptional networks from gene expression data
plotROC
Plotting receiver operating characteristic(ROC) Curves
data
example data for mlDNA
