Package: BioQC 1.35.0
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_1.35.0.tar.gz
BioQC_1.35.0.zip(r-4.5)BioQC_1.35.0.zip(r-4.4)BioQC_1.35.0.zip(r-4.3)
BioQC_1.35.0.tgz(r-4.4-x86_64)BioQC_1.35.0.tgz(r-4.4-arm64)BioQC_1.35.0.tgz(r-4.3-x86_64)BioQC_1.35.0.tgz(r-4.3-arm64)
BioQC_1.35.0.tar.gz(r-4.5-noble)BioQC_1.35.0.tar.gz(r-4.4-noble)
BioQC.pdf |BioQC.html✨
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
On BioConductor:BioQC-1.33.0(bioc 3.20)BioQC-1.32.0(bioc 3.19)
geneexpressionqualitycontrolstatisticalmethodgenesetenrichment
Last updated 23 days agofrom:33cb26a249. Checks:OK: 4 NOTE: 5. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 30 2024 |
R-4.5-win-x86_64 | NOTE | Oct 30 2024 |
R-4.5-linux-x86_64 | NOTE | Oct 30 2024 |
R-4.4-win-x86_64 | NOTE | Oct 30 2024 |
R-4.4-mac-x86_64 | NOTE | Oct 30 2024 |
R-4.4-mac-aarch64 | NOTE | Oct 30 2024 |
R-4.3-win-x86_64 | OK | Oct 30 2024 |
R-4.3-mac-x86_64 | OK | Oct 30 2024 |
R-4.3-mac-aarch64 | OK | Oct 30 2024 |
Exports:absLog10pappendGmtListas.GmtListentropyentropyDiversityentropySpecificityfilterBySizefilterPmatgetLeadingEdgeIndexFromMatrixgetLeadingEdgeIndexFromVectorginiGmtListgmtlist2signedGenesetsgsDescgsGeneCountgsGenesgsNamegsNamespacegsNamespace<-gsSizehasNamespaceIndexListisValidBaseIndexListisValidGmtListisValidIndexListisValidSignedGenesetsisValidSignedIndexListmatchGenesoffsetoffset<-prettySigNamesreadCurrentSignaturesreadGmtreadSignedGmtsampleSpecializationsetDescAsNamespacesetNamespaceshowSignedGenesetsSignedIndexListsimplifyMatrixuniqGenesetsByNamespacewmwLeadingEdgewmwTestwmwTestInR
Dependencies:BiobaseBiocGenericsedgeRlatticelimmalocfitRcppstatmod
BioQC Algorithm: Speeding up the Wilcoxon-Mann-Whitney Test
Rendered frombioqc-efficiency.Rmd
usingknitr::rmarkdown
on Oct 30 2024.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.Rmd
usingknitr::rmarkdown
on Oct 30 2024.Last update: 2020-12-06
Started: 2020-12-06
BioQC-kidney: The kidney expression example
Rendered fromBioQC.Rmd
usingknitr::rmarkdown
on Oct 30 2024.Last update: 2020-12-06
Started: 2020-12-06
BioQC: Detect tissue heterogeneity in gene expression data
Rendered frombioqc-introduction.Rmd
usingknitr::rmarkdown
on Oct 30 2024.Last update: 2020-12-06
Started: 2020-12-06
Comparing the Wilcoxon-Mann-Whitney to alternative statistical tests
Rendered frombioqc-wmw-test-performance.Rmd
usingknitr::rmarkdown
on Oct 30 2024.Last update: 2020-12-06
Started: 2020-12-06
Using BioQC with signed genesets
Rendered frombioqc-signedGenesets.Rmd
usingknitr::rmarkdown
on Oct 30 2024.Last update: 2017-08-02
Started: 2016-08-29