print.clust
(Package: PedCNV) :
Prints clustering results
Prints formatted results returned by ClusProc.
● Data Source:
CranContrib
● Keywords:
● Alias: print.clust
●
0 images
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STE
(Package: PedCNV) :
Score test with the most probable CNV
Calculates the score test statistics with the most probable CNV.
● Data Source:
CranContrib
● Keywords:
● Alias: STE
●
0 images
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PedCNV-package
(Package: PedCNV) :
CNV association implementation
A package to perform robust quantitative traits association testing of copy number variants. It provides two methods for association study: first, the observed probe intensity measurement can be directly used to detect the association of CNV with phenotype of interest. Second, the most probable copy number is estimated with the proposed likelihood and the association of the most probable copy number with phenotype is tested. Also, it can be used to determine the optimal clustering number and clustering assignment for each individuals. This method can be applied to both the independent and correlated population.
● Data Source:
CranContrib
● Keywords:
● Alias: PedCNV-package
●
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AssoTestProc
(Package: PedCNV) :
CNV association test procedure
This function tests the association of CNV with continuous trait of interest. Two statistics are provided for different strategies with the intensity measurement.
● Data Source:
CranContrib
● Keywords:
● Alias: AssoTestProc
●
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STIM
(Package: PedCNV) :
Score test with the intensity value
Calculates the score test statistics with the intensity value.
● Data Source:
CranContrib
● Keywords:
● Alias: STIM
●
0 images
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print.asso
(Package: PedCNV) :
Prints association study results
Prints formatted results from the association study returned by AssoTestProc.
● Data Source:
CranContrib
● Keywords:
● Alias: print.asso
●
0 images
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plot.clust
(Package: PedCNV) :
Plots clustering result
Makes formatted plots from the clustering result returned from ClusProc.
● Data Source:
CranContrib
● Keywords:
● Alias: plot.clust
●
1 images
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ClusProc
(Package: PedCNV) :
CNV clustering Procedure
This function chooses the optimal number of clusters and provides the assignments of each individuals under the optimum clustering number.
● Data Source:
CranContrib
● Keywords:
● Alias: ClusProc
●
0 images
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providing 
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