Package: regsplice 1.39.0

Lukas M. Weber

regsplice: L1-regularization based methods for detection of differential splicing

Statistical methods for detection of differential splicing (differential exon usage) in RNA-seq and exon microarray data, using L1-regularization (lasso) to improve power.

Authors:Lukas M. Weber [aut, cre]

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manual.pdf |manual.html
card.svg |card.png
regsplice/json (API)
NEWS

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

Bug tracker:https://github.com/lmweber/regsplice/issues

On BioConductor:regsplice-1.39.0(bioc 3.24)regsplice-1.38.0(bioc 3.23)

immunooncologyalternativesplicingdifferentialexpressiondifferentialsplicingsequencingrnaseqmicroarrayexonarrayexperimentaldesignsoftware

5.77 score 3 stars 33 scripts 377 downloads 24 exports 30 dependencies

Last updated from:be97a76629. Checks:1 WARNING, 7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksWARNING179
linux-devel-x86_64NOTE347
source / vignettesOK237
linux-release-x86_64NOTE312
macos-release-arm64NOTE165
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Exports:assayscolDatacountsDatacreateDesignMatrixdf_testsfilterLowCountsfilterZerosfitFullMultiplefitNullMultiplefitRegMultiplegene_IDsinitializeResultsLR_statsLRTestsp_adjp_valsregspliceRegspliceDataRegspliceResultsrowDatarunNormalizationrunVoomsummaryTableweightsData

Dependencies:abindBiobaseBiocGenericscodetoolsDelayedArrayedgeRforeachgenericsGenomicRangesglmnetIRangesiteratorslatticelimmalocfitMatrixMatrixGenericsmatrixStatspbapplyRcppRcppEigenS4ArraysS4VectorsSeqinfoshapeSparseArraystatmodSummarizedExperimentsurvivalXVector

regsplice workflow

Rendered fromregsplice-workflow.Rmdusingknitr::rmarkdownon May 30 2026.

Last update: 2019-11-28
Started: 2016-10-15

Readme and manuals

Help Manual

Help pageTopics
Create design matrix.createDesignMatrix
Filter low-count exons.filterLowCounts
Filter zero-count exons.filterZeros
Fit models.fitFullMultiple fitNullMultiple fitRegMultiple
Initialize RegspliceResults object.initializeResults
Calculate likelihood ratio tests.LRTests
Wrapper function to run regsplice.regsplice
RegspliceData objects.assays,RegspliceData-method colData,RegspliceData-method countsData countsData,RegspliceData-method RegspliceData RegspliceData-class rowData,RegspliceData-method weightsData weightsData,RegspliceData-method [,RegspliceData,ANY,ANY,ANY-method
RegspliceResults objects.df_tests df_tests,RegspliceResults-method gene_IDs gene_IDs,RegspliceResults-method LR_stats LR_stats,RegspliceResults-method p_adj p_adj,RegspliceResults-method p_vals p_vals,RegspliceResults-method RegspliceResults RegspliceResults-class
Calculate normalization factors.runNormalization
Calculate 'voom' transformation and weights.runVoom
Summary table.summaryTable