Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
BioConductor
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Results 1 - 10 of 26 found.
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TestSNPNameFile (Package: CINOEDV) :

This function check the parameter TestSNPNameFile. If there are real SNP names which will be used for constructing graphs and further analysis, the name of file that saves real SNP names should be provided.
● Data Source: CranContrib
● Keywords:
● Alias: TestSNPNameFile
● 0 images

NormalizationEffect (Package: CINOEDV) :

Normalization of main effects, and n-order interaction effects in SingleEffect, TwoEffect, ThreeEffect, FourEffect and FiveEffect respectively.
● Data Source: CranContrib
● Keywords:
● Alias: NormalizationEffect
● 0 images

TestNumberThreshold (Package: CINOEDV) :

This function check the parameter NumberThreshold
● Data Source: CranContrib
● Keywords:
● Alias: TestNumberThreshold
● 0 images

CINOEDV_Main (Package: CINOEDV) :

This function integrates almost all functions of the package for providing one stop service.
● Data Source: CranContrib
● Keywords: Epistasis
● Alias: CINOEDV_Main
● 0 images

toc (Package: CINOEDV) :

toc reads the elasped time from the stopwatch timer started by the tic function. The function reads the internal time at the execution of the toc command, and displays the elapsed time since the most recent call to the tic function that had no output, in seconds.
● Data Source: CranContrib
● Keywords:
● Alias: toc
● 0 images

CoInformation (Package: CINOEDV) :

This function compute co-information value of a given SNP combination.
● Data Source: CranContrib
● Keywords:
● Alias: CoInformation
● 0 images

CINOEDV-package (Package: CINOEDV) :

Detecting and visualizing nonlinear interaction effects of single nucleotide polymorphisms or epistatic interactions, especially high-order epistatic interactions, are important topics in bioinformatics because of their significant mathematical and computational challenges. We present CINOEDV (Co-Information based N-Order Epistasis Detector and Visualizer) for detecting, visualizing, and analyzing high-order epistatic interactions by introducing virtual vertices into the construction of a hypergraph. CINOEDV was developed as an alternative to existing software to build a global picture of epistatic interactions and unexpected high-order epistatic interactions, which might provide useful clues for understanding the underlying genetic architecture of complex diseases.
● Data Source: CranContrib
● Keywords: package
● Alias: CINOEDV-package
● 0 images

ConstructCompleteGraph (Package: CINOEDV) :

This function construct complete graph by using all vertices and edges.
● Data Source: CranContrib
● Keywords:
● Alias: ConstructCompleteGraph
● 0 images

CombinationEntropy (Package: CINOEDV) :

This function compute combination entropy of given variables. These variables can be one SNP, the class label, SNP-combination, or SNP-combination-class label.
● Data Source: CranContrib
● Keywords:
● Alias: CombinationEntropy
● 0 images

tic (Package: CINOEDV) :

tic starts a stopwatch timer to measure performance. The function records the internal time at execution of the tic command. Display the elapsed time with the toc function.
● Data Source: CranContrib
● Keywords:
● Alias: tic
● 0 images