Man pages for KCsmart
Multi sample aCGH analysis package using kernel convolution
| calcSpm | KCsmart wrapper |
| calcSpmCollection | KCsmart Comparative wrapper |
| compareSpmCollection | KCsmart Comparative calculate null distribution |
| compKc-class | KC smart comparative |
| compKcSigRegions-class | KC smart comparative |
| findSigLevelFdr | This function has not been properly implemented yet |
| findSigLevelTrad | Find significance level |
| getSigRegionsCompKC | KCsmart Comparative calculate the signficant regions |
| getSigSegments | Retrieve the significantly gained and lost regions including... |
| hsMirrorLocs | Mirror locations of the human genome |
| hsSampleData | Homo Sapiens artificial cgh data set |
| idPoints | Identify points in sample point matrix plot |
| KCData-class | Internal class "KCData" |
| KcghData-class | Class "KcghData" |
| KcghDataMirror-class | Class "KcghDataMirror" |
| KcghDataSplit-class | Class "KcghDataSplit" |
| KcghDataSum-class | Class "KcghDataSum" |
| KCsmart-package | KCsmart |
| mmMirrorLocs | Mirror locations of the mouse genome |
| plot | Plot a sample point matrix |
| plotScaleSpace | Plot multiple significant regions in one figure |
| probeAnnotation-class | Class "probeAnnotation" |
| samplePointMatrix-class | Sample point matrix |
| sigSegments-class | Significant segments |
| spmCollection-class | Sample point matrix collection |
| write.table | Write summary of the significant regions to a table |
