Package: preprocessCore 1.67.0

Ben Bolstad

preprocessCore: A collection of pre-processing functions

A library of core preprocessing routines.

Authors:Ben Bolstad <[email protected]>

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preprocessCore.pdf |preprocessCore.html
preprocessCore/json (API)

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

Peer review:

Bug tracker:https://github.com/bmbolstad/preprocesscore/issues

Uses libs:
  • openblas– Optimized BLAS

On BioConductor:preprocessCore-1.67.0(bioc 3.20)preprocessCore-1.66.0(bioc 3.19)

bioconductor-package

39 exports 1 stars 8.94 score 0 dependencies 222 dependents 146 mentions

Last updated 2 months agofrom:3a8599b27b

Exports:colSummarizeAvgcolSummarizeAvgLogcolSummarizeBiweightcolSummarizeBiweightLogcolSummarizeLogAvgcolSummarizeLogMediancolSummarizeMediancolSummarizeMedianLogcolSummarizeMedianpolishcolSummarizeMedianpolishLogconvert.group.labelsnormalize.quantilesnormalize.quantiles.determine.targetnormalize.quantiles.in.blocksnormalize.quantiles.robustnormalize.quantiles.use.targetrcModelMedianPolishrcModelPLMrcModelPLMdrcModelPLMrrcModelPLMrcrcModelPLMrrrcModelWPLMrcModelWPLMrrcModelWPLMrcrcModelWPLMrrrma.background.correctsubColSummarizeAvgsubColSummarizeAvgLogsubColSummarizeBiweightsubColSummarizeBiweightLogsubColSummarizeLogAvgsubColSummarizeLogMediansubColSummarizeMediansubColSummarizeMedianLogsubColSummarizeMedianpolishsubColSummarizeMedianpolishLogsubrcModelMedianPolishsubrcModelPLM

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Summarize the column of matricescolSummarizeAvg colSummarizeAvgLog colSummarizeBiweight colSummarizeBiweightLog colSummarizeLogAvg colSummarizeLogMedian colSummarizeMedian colSummarizeMedianLog colSummarizeMedianpolish colSummarizeMedianpolishLog
Quantile Normalizationnormalize.quantiles
Quantile Normalization carried out separately within blocks of rowsnormalize.quantiles.in.blocks
Robust Quantile Normalizationnormalize.AffyBatch.quantiles.robust normalize.quantiles.robust
Quantile Normalization using a specified target distribution vectornormalize.quantiles.determine.target normalize.quantiles.use.target
Fit robust row-column models to a matrixrcModelPLMd
Fit robust row-column models to a matrixrcModelPLMr rcModelPLMrc rcModelPLMrr rcModelWPLMr rcModelWPLMrc rcModelWPLMrr
Fit row-column model to a matrixrcModelMedianPolish rcModelPLM rcModelWPLM
RMA Background Correctionrma.background.correct
Summarize columns when divided into groups of rowsconvert.group.labels subColSummarizeAvg subColSummarizeAvgLog subColSummarizeBiweight subColSummarizeBiweightLog subColSummarizeLogAvg subColSummarizeLogMedian subColSummarizeMedian subColSummarizeMedianLog subColSummarizeMedianpolish subColSummarizeMedianpolishLog
Fit row-column model to a matrixsubrcModelMedianPolish subrcModelPLM subrcModelWPLM