Machine Learning-based Differential Network Analysis of Transcriptome Data

Documentation for package ‘mlDNA’ version 1.1

mlDNA-package	Machine Learning-based Differential Network Analysis
AverageRankScore	Average-based rank score
classifier	Building machine learning-based classification models
ConditionSpecificGenes	Condition specifically expressed genes
ConvergenceDegree	Calculating covergence degree
cross_validation	Cross validation method
data	example data for mlDNA
exp2net	Inferring transcriptional networks from gene expression data
expFeatureMatrix	Expression-based feature matrix
geneRanker	Gene Ranking
interactionRemoval	interation-removal method
mlDNA	Machine Learning-based Differential Network Analysis
netFeatureMatrix	Generating network feature matrix
optimalScore	Identifying optimal prediction score
plotROC	Plotting receiver operating characteristic(ROC) Curves
predictor	Prediction
PSOL_InitialNegativeSelection	Initial negative set selection for building machine learning-based classification model
PSOL_NegativeExpansion	Negative expansion
PSOL_ResultExtraction	PSOL result extraction
randomSeed	Random seed generator
saltData	example data for mlDNA