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synRNASeqNet (version 1.0)

Synthetic RNA-Seq Network Generation and Mutual Information Estimates

Description

It implements various estimators of mutual information, such as the maximum likelihood and the Millow-Madow estimator, various Bayesian estimators, the shrinkage estimator, and the Chao-Shen estimator. It also offers wrappers to the kNN and kernel density estimators. Furthermore, it provides various index of performance evaluation such as precision, recall, FPR, F-Score, ROC-PR Curves and so on. Lastly, it provides a brand new way of generating synthetic RNA-Seq Network with known dependence structure.

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Install

install.packages('synRNASeqNet')

Monthly Downloads

11

Version

1.0

License

GPL (>= 3)

Issues

Pull Requests

Stars

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Maintainer

Luciano Garofano

Last Published

April 20th, 2015

Functions in synRNASeqNet (1.0)

performanceNET

Evalutate Performance Indices
entropyMM

Miller-Madow corrected Entropy Estimate
Likelihoods

Likelihood Indices
parMIKD

Parallel Kernel Density Mutual Information Estimate
entropyShrink

James-Stein Shrinkage Entropy Estimate
plotPR

Plot PR Curve
parEntropyEstimate

Parallel Entropy Estimation
synRNASeqNet-internal

Internal synRNASeqNet Functions
entropyML

Maximum Likelihood Entropy Estimate
YoudenIndex

Youden's Index
parMIEstimate

Parallel Mutual Information Estimation
DiscriminantPower

Discriminant Power
aucDisc

Calculate Area Under a (ROC/PR) Curve
synRNASeqNet-package

Synthetic RNA-Seq Network Generation and Mutual Information Estimates
simulatedData

Random Generation Networks for RNA-Seq Data
performanceIndex

Evalutate Performance Indices
entropyBayes

Bayesian Entropy Estimate
entropyCS

Chao-Shen Entropy Estimate
plotROC

Plot ROC Curve
mainNetFunction

Main Estimation and Evaluation Function