# Machine Learning-based Differential Network Analysis of Transcriptome Data

## Documentation for package ‘mlDNA’ version 1.1

- DESCRIPTION file.

## Help Pages

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