Package: KCsmart 2.65.0

Jorma de Ronde

KCsmart: Multi sample aCGH analysis package using kernel convolution

Multi sample aCGH analysis package using kernel convolution

Authors:Jorma de Ronde, Christiaan Klijn, Arno Velds

KCsmart_2.65.0.tar.gz
KCsmart_2.65.0.zip(r-4.5)KCsmart_2.65.0.zip(r-4.4)KCsmart_2.65.0.zip(r-4.3)
KCsmart_2.65.0.tgz(r-4.4-any)KCsmart_2.65.0.tgz(r-4.3-any)
KCsmart_2.65.0.tar.gz(r-4.5-noble)KCsmart_2.65.0.tar.gz(r-4.4-noble)
KCsmart_2.65.0.tgz(r-4.4-emscripten)KCsmart_2.65.0.tgz(r-4.3-emscripten)
KCsmart.pdf |KCsmart.html
KCsmart/json (API)

# Install 'KCsmart' in R:
install.packages('KCsmart', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On BioConductor:KCsmart-2.65.0(bioc 3.21)KCsmart-2.64.0(bioc 3.20)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

copynumbervariationvisualizationacghmicroarray

3.60 score 1 scripts 306 downloads 2 mentions 13 exports 11 dependencies

Last updated 2 months agofrom:d71c2e0b19. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 19 2024
R-4.5-winWARNINGDec 19 2024
R-4.5-linuxWARNINGDec 19 2024
R-4.4-winWARNINGDec 19 2024
R-4.4-macWARNINGDec 19 2024
R-4.3-winWARNINGDec 19 2024
R-4.3-macWARNINGDec 19 2024

Exports:calcSpmcalcSpmCollectioncompareSpmCollectionfindSigLevelFdrfindSigLevelTradgetSigRegionsCompKCgetSigSegmentsidPointsinitializeplotplotScaleSpaceshowwrite.table

Dependencies:BiobaseBiocGenericsgenericsKernSmoothlatticeMASSMatrixmulttestscrimesiggenessurvival

KCsmart example session

Rendered fromKCS.Rnwusingutils::Sweaveon Dec 19 2024.

Last update: 2013-11-01
Started: 2013-11-01

Readme and manuals

Help Manual

Help pageTopics
KCsmartKCsmart-package KCsmart
KCsmart wrappercalcSpm
KCsmart Comparative wrappercalcSpmCollection
KCsmart Comparative calculate null distributioncompareSpmCollection
KC smart comparativecompKc-class initialize,compKc-method plot,compKc-method show,compKc-method
KC smart comparativecompKcSigRegions-class show,compKcSigRegions-method
This function has not been properly implemented yetfindSigLevelFdr
Find significance levelfindSigLevelTrad
KCsmart Comparative calculate the signficant regionsgetSigRegionsCompKC
Retrieve the significantly gained and lost regions including the corresponding, original probesgetSigSegments
Mirror locations of the human genomehsMirrorLocs
Homo Sapiens artificial cgh data sethsSampleData
Identify points in sample point matrix plotidPoints
Internal class "KCData"KCData-class length,KCData-method unlist,KCData-method [[,KCData-method [[<-,KCData-method
Class "KcghData"initialize,KcghData-method KcghData-class sort,KcghData-method
Class "KcghDataMirror"initialize,KcghDataMirror-method KcghDataMirror-class
Class "KcghDataSplit"initialize,KcghDataSplit-method KcghDataSplit-class
Class "KcghDataSum"initialize,KcghDataSum-method KcghDataSum-class sort,KcghDataSum-method
Mirror locations of the mouse genomemmMirrorLocs
Plot a sample point matrixplot plot,compKc,missing-method plot,samplePointMatrix,missing-method plot,scaleSpace,missing-method
Plot multiple significant regions in one figureplotScaleSpace
Class "probeAnnotation"initialize,probeAnnotation-method probeAnnotation-class [,probeAnnotation-method
Sample point matrixsamplePointMatrix-class show,samplePointMatrix-method
Significant segmentsshow,sigSegments-method sigSegments-class
Sample point matrix collectionshow,spmCollection-method spmCollection-class
Write summary of the significant regions to a tablewrite.table write.table,compKcSigRegions-method write.table,sigSegments-method