A112 | Copy Number Variant intensity data |
apply.ldf | Applies a canonical correlation transformation to the data |
apply.pca | Applies to the data a principal component analysis |
CNV.fitModel | Fits a mixture of Gaussian to a set of one dimensional... |
cnv.plot | Plots posterior probabilty distributions |
CNVtest.binary | Fits a mixture of Gaussian to CNV data |
CNVtest.binary.T | CNV association testing using T distributions |
CNVtest.qt | Fits a mixture of Gaussian to CNV data |
CNVtest.qt.T | Fits a mixture of Gaussian to CNV data |
CNVtest.select.model | Select number of components in a CNV |
CNVtools-package | CNVtools : CNV association studies |
compact.data.frame | Compacts the expanded data frame format needed by our fitting... |
EM.starting.point | Randomly assigns a starting point for the EM algorithm |
ExpandData | Expands a CNV input data frame for the maximum likelihood... |
get.model.spec | Get model specifications (internal function) |
getparams | Return mixture parameters |
getQualityScore | Computes a quality score for a CNV fit |
qt.plot | Makes signal vs trait plots and posterior probabilty... |
test.posterior | Checks posterior probabilities are monotonic. |
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