Package: cn.farms 1.53.0

Andreas Mitterecker

cn.farms: cn.FARMS - factor analysis for copy number estimation

This package implements the cn.FARMS algorithm for copy number variation (CNV) analysis. cn.FARMS allows to analyze the most common Affymetrix (250K-SNP6.0) array types, supports high-performance computing using snow and ff.

Authors:Andreas Mitterecker, Djork-Arne Clevert

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cn.farms.pdf |cn.farms.html
cn.farms/json (API)

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

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

On BioConductor:cn.farms-1.53.0(bioc 3.20)cn.farms-1.52.0(bioc 3.19)

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

bioconductor-package

31 exports 1.08 score 57 dependencies

Last updated 2 months agofrom:c0d7cd9f49

Exports:cn.farmscnLibrarycombineDatacreateAnnotationcreateMatrixdistributionDistancednaCopySffragLengCorrmlSummarizationnormalizeAveragenormalizeCelsnormalizeNpDatanormalizeSequenceEffectplotDendrogramplotDensityplotEvalIcplotRegionsplotSmoothScatterplotViolinesslSummarizationsparseFarmsCsummarizeFarmsExactsummarizeFarmsExact2summarizeFarmsExact3summarizeFarmsGaussiansummarizeFarmsMethodssummarizeFarmsStatisticssummarizeFarmsVariationalsummarizeWindowBpssummarizeWindowMethodssummarizeWindowStd

Dependencies:abindaffxparseraffyioaskpassBiobaseBiocGenericsBiocManagerBiostringsbitbit64blobcachemclicodetoolscpp11crayoncurlDBIDelayedArrayDNAcopyfastmapffforeachGenomeInfoDbGenomeInfoDbDataGenomicRangesgluehttrIRangesiteratorsjsonlitelatticelifecycleMatrixMatrixGenericsmatrixStatsmemoisemimeoligooligoClassesopensslpkgconfigplogrpreprocessCoreR6rlangRSQLiteS4ArraysS4VectorssnowSparseArraySummarizedExperimentsysUCSC.utilsvctrsXVectorzlibbioc

cn.farms: Manual for the R package

Rendered fromcn.farms.Rnwusingutils::Sweaveon Jul 07 2024.

Last update: 2014-05-16
Started: 2012-11-06

Readme and manuals

Help Manual

Help pageTopics
Defines which variables should be written back when calling a cn.farms runcallSummarize
cn.farmscn.farms
This function was taken from snowfall and edited due to some deprecated function calls.cnLibrary
Combine two ExpressionSet objectscombineData
Creation of annotation filescreateAnnotation
Creates the needed matrixcreateMatrix
Computes the distribution distancedistributionDistance
Runs DNAcopy in parallel modednaCopySf
Does the whole cn.farms process in one calldoCnFarmsSingle
Does a fragment length correction on intensitiesflcSnp6Std
Does a fragment length correction on intensitiesflcStd
Does a fragment length correctionfragLengCorr
Finds SNPs which belong to one fragmentgetFragmentSet
Combines data for probeset summarizationgetSingleProbeSetSize
Method for computation of the multi-loci summarizationmlSummarization
Extracts info from the package namenormAdd
Scales the range of the non-polymorphic data to the range of a given array.normalizeAverage
Wrapper for the normalization functionsnormalizeCels
Runs the SOR normalization on microarray datanormalizeNone
Processes the non-polymorphic datanormalizeNpData
Normalization QuantilesnormalizeQuantiles
Correction for probe sequence effectsnormalizeSequenceEffect
Runs the SOR normalization on microarray datanormalizeSor
Plots a dendrogramplotDendrogram
Function to create a density plotplotDensity
Creates a plot with known regions and a numeric vectorplotEvalIc
Plots given regions by segmentsplotRegions
Creates a smooth scatter plotplotSmoothScatter
Create a violine plotplotViolines
Method for computation of the single-locus summarizationslSummarization
Normalizes the data with SORsparseFarmsC
Summarization Laplacian approach with exact computationsummarizeFarmsExact
Summarization Laplacian approach with exact computationsummarizeFarmsExact2
Summarization Laplacian approach with exact computationsummarizeFarmsExact3
Summarization Gaussian approachsummarizeFarmsGaussian
Lists methods for possible FARMS summarizationsummarizeFarmsMethods
Mean or median instead of the FARMS modelsummarizeFarmsStatistics
Summarization variational Laplacian approachsummarizeFarmsVariational
Combines neighbouring locations to windowssummarizeWindowBps
Lists methods for possible window methodssummarizeWindowMethods
Combines neighbouring locations to windowssummarizeWindowStd