Package: BioQC 1.41.0
BioQC: Detect tissue heterogeneity in expression profiles with gene sets
BioQC performs quality control of high-throughput expression data based on tissue gene signatures. It can detect tissue heterogeneity in gene expression data. The core algorithm is a Wilcoxon-Mann-Whitney test that is optimised for high performance.
Authors:
BioQC_1.41.0.tar.gz
BioQC_1.41.0.zip(r-4.7)BioQC_1.41.0.zip(r-4.6)BioQC_1.41.0.zip(r-4.5)
BioQC_1.41.0.tgz(r-4.6-x86_64)BioQC_1.41.0.tgz(r-4.6-arm64)BioQC_1.41.0.tgz(r-4.5-x86_64)BioQC_1.41.0.tgz(r-4.5-arm64)
BioQC_1.41.0.tar.gz(r-4.7-arm64)BioQC_1.41.0.tar.gz(r-4.7-x86_64)BioQC_1.41.0.tar.gz(r-4.6-arm64)BioQC_1.41.0.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
card.svg |card.png
BioQC/json (API)
NEWS
| # Install 'BioQC' in R: |
| install.packages('BioQC', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/accio/bioqc/issues
Pkgdown/docs site:https://accio.github.io
On BioConductor:BioQC-1.41.0(bioc 3.24)BioQC-1.40.0(bioc 3.23)
geneexpressionqualitycontrolstatisticalmethodgenesetenrichmentcpp
Last updated from:7aa53c346c. Checks:1 ERROR, 11 NOTE, 1 OK, 1 FAIL. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | ERROR | 229 | ||
| linux-devel-arm64 | NOTE | 171 | ||
| linux-devel-x86_64 | NOTE | 183 | ||
| source / vignettes | OK | 331 | ||
| linux-release-arm64 | NOTE | 175 | ||
| linux-release-x86_64 | NOTE | 250 | ||
| macos-release-arm64 | NOTE | 189 | ||
| macos-release-x86_64 | NOTE | 302 | ||
| macos-oldrel-arm64 | NOTE | 176 | ||
| macos-oldrel-x86_64 | NOTE | 275 | ||
| windows-devel | NOTE | 388 | ||
| windows-release | NOTE | 618 | ||
| windows-oldrel | NOTE | 396 | ||
| wasm-release | FAIL | 173 |
Exports:absLog10pappendGmtListas.GmtListentropyentropyDiversityentropySpecificityfilterBySizefilterPmatgetLeadingEdgeIndexFromMatrixgetLeadingEdgeIndexFromVectorginiGmtListgmtlist2signedGenesetsgsDescgsGeneCountgsGenesgsNamegsNamespacegsNamespace<-gsSizehasNamespaceIndexListisValidBaseIndexListisValidGmtListisValidIndexListisValidSignedGenesetsisValidSignedIndexListmatchGenesoffsetoffset<-prettySigNamesreadCurrentSignaturesreadGmtreadSignedGmtsampleSpecializationsetDescAsNamespacesetNamespaceshowSignedGenesetsSignedIndexListsimplifyMatrixuniqGenesetsByNamespacewmwLeadingEdgewmwTestwmwTestInR
Dependencies:BiobaseBiocGenericsedgeRgenericslatticelimmalocfitRcppstatmod
BioQC Algorithm: Speeding up the Wilcoxon-Mann-Whitney Test
Rendered frombioqc-efficiency.Rmdusingknitr::rmarkdownon May 29 2026.Last update: 2020-12-06
Started: 2016-11-08
BioQC-benchmark: Testing Efficiency, Sensitivity and Specificity of BioQC on simulated and real-world data
Rendered frombioqc-simulation.Rmdusingknitr::rmarkdownon May 29 2026.Last update: 2020-12-06
Started: 2020-12-06
BioQC-kidney: The kidney expression example
Rendered fromBioQC.Rmdusingknitr::rmarkdownon May 29 2026.Last update: 2020-12-06
Started: 2020-12-06
BioQC: Detect tissue heterogeneity in gene expression data
Rendered frombioqc-introduction.Rmdusingknitr::rmarkdownon May 29 2026.Last update: 2020-12-06
Started: 2020-12-06
Comparing the Wilcoxon-Mann-Whitney to alternative statistical tests
Rendered frombioqc-wmw-test-performance.Rmdusingknitr::rmarkdownon May 29 2026.Last update: 2020-12-06
Started: 2020-12-06
Using BioQC with signed genesets
Rendered frombioqc-signedGenesets.Rmdusingknitr::rmarkdownon May 29 2026.Last update: 2017-08-02
Started: 2016-08-29
