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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

Install

install.packages('mlDNA')

Monthly Downloads

1

Version

1.1

License

GPL (>= 2)

Maintainer

Chuang Ma

Last Published

November 19th, 2013

Functions in mlDNA (1.1)

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