Package: bayNorm 1.30.0

Wenhao Tang
bayNorm: Single-cell RNA sequencing data normalization
bayNorm is used for normalizing single-cell RNA-seq data.
Authors:
bayNorm_1.30.0.tar.gz
bayNorm_1.30.0.zip(r-4.7)bayNorm_1.30.0.zip(r-4.6)bayNorm_1.28.0.zip(r-4.5)
bayNorm_1.30.0.tgz(r-4.6-x86_64)bayNorm_1.30.0.tgz(r-4.6-arm64)bayNorm_1.28.0.tgz(r-4.5-x86_64)bayNorm_1.28.0.tgz(r-4.5-arm64)
bayNorm_1.30.0.tar.gz(r-4.7-arm64)bayNorm_1.30.0.tar.gz(r-4.7-x86_64)bayNorm_1.30.0.tar.gz(r-4.6-arm64)bayNorm_1.30.0.tar.gz(r-4.6-x86_64)
bayNorm_1.30.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
bayNorm/json (API)
NEWS
| # Install 'bayNorm' in R: |
| install.packages('bayNorm', repos = c('https://bioc-release.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/wt215/baynorm/issues
- EXAMPLE_DATA_list - A subset of Grun et al (2014) data: 2i samples
On BioConductor:bayNorm-1.31.0(bioc 3.24)bayNorm-1.30.0(bioc 3.23)
immunooncologynormalizationrnaseqsinglecellsequencingscrnaseqcppopenmp
Last updated from:4b9372357f (on RELEASE_3_23). Checks:9 NOTE, 2 OK, 3 FAIL. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | NOTE | 208 | ||
| linux-devel-arm64 | NOTE | 296 | ||
| linux-devel-x86_64 | NOTE | 321 | ||
| source / vignettes | OK | 282 | ||
| linux-release-arm64 | NOTE | 280 | ||
| linux-release-x86_64 | NOTE | 316 | ||
| macos-release-arm64 | NOTE | 301 | ||
| macos-release-x86_64 | NOTE | 464 | ||
| macos-oldrel-arm64 | FAIL | 82 | ||
| macos-oldrel-x86_64 | FAIL | 146 | ||
| windows-devel | NOTE | 260 | ||
| windows-release | NOTE | 280 | ||
| windows-oldrel | FAIL | 116 | ||
| wasm-release | OK | 159 |
Exports:AdjustSIZE_funas_matrixasMatrixbayNormbayNorm_supBB_FunBetaFunCheck_inputDownSamplingEstPriorEstPrior_rcppEstPrior_sprcppNOISY_FUNnoisy_gene_detectionPrior_funSyntheticControlt_sp
Dependencies:abindBBBHBiobaseBiocGenericsBiocParallelcodetoolscpp11DelayedArraydoSNOWfitdistrplusforeachformatRfutile.loggerfutile.optionsgenericsGenomicRangesIRangesiteratorslambda.rlatticelocfitMASSMatrixMatrixGenericsmatrixStatsquadprogRcppRcppArmadilloRcppProgressrlangS4ArraysS4VectorsSeqinfoSingleCellExperimentsnowSparseArraySummarizedExperimentsurvivalXVector