Package: PECA 1.41.0

Tomi Suomi

PECA: Probe-level Expression Change Averaging

Calculates Probe-level Expression Change Averages (PECA) to identify differential expression in Affymetrix gene expression microarray studies or in proteomic studies using peptide-level mesurements respectively.

Authors:Tomi Suomi, Jukka Hiissa, Laura L. Elo

PECA_1.41.0.tar.gz
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PECA.pdf |PECA.html✨
PECA/json (API)
NEWS

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

Peer review:

On BioConductor:PECA-1.41.0(bioc 3.20)PECA-1.40.0(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

5 exports 0.82 score 78 dependencies 17 mentions

Last updated 2 months agofrom:c3ba48708d

Exports:PECA_AffyBatchPECA_CELPECA_dfPECA_tsvPECASI

Dependencies:affyaffyioannotateAnnotationDbiaroma.affymetrixaroma.apdaroma.corearoma.lightaskpassbase64encBiobaseBiocGenericsBiocManagerBiostringsbitbit64blobcachemclicodetoolscpp11crayoncurlDBIdigestDNAcopyfastmapfuturegenefilterGenomeInfoDbGenomeInfoDbDataglobalsgluehttrIRangesjsonliteKEGGRESTlatticelifecyclelimmalistenvMASSMatrixMatrixGenericsmatrixStatsmemoisemimeopensslparallellypkgconfigplogrpngpreprocessCorePSCBSR.cacheR.devicesR.filesetsR.hugeR.methodsS3R.ooR.rspR.utilsR6RColorBrewerRcpprlangROTSRSQLiteS4VectorsstatmodsurvivalsysUCSC.utilsvctrsXMLxtableXVectorzlibbioc

PECA: Probe-level Expression Change Averaging

Rendered fromPECA.Rnwusingutils::Sweaveon Jun 30 2024.

Last update: 2015-06-08
Started: 2013-12-07

Readme and manuals

Help Manual

Help pageTopics
PECA differential gene expressionPECA PECA_AffyBatch PECA_CEL PECA_df PECA_tsv
PECA splicing indexPECASI