Package: EBSEA 1.40.0
EBSEA: Exon Based Strategy for Expression Analysis of genes
Calculates differential expression of genes based on exon counts of genes obtained from RNA-seq sequencing data.
Authors:
EBSEA_1.40.0.tar.gz
EBSEA_1.40.0.zip(r-4.7)EBSEA_1.40.0.zip(r-4.6)EBSEA_1.40.0.zip(r-4.5)
EBSEA_1.40.0.tgz(r-4.6-any)EBSEA_1.40.0.tgz(r-4.5-any)
EBSEA_1.40.0.tar.gz(r-4.7-any)EBSEA_1.40.0.tar.gz(r-4.6-any)
EBSEA_1.40.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
EBSEA/json (API)
| # Install 'EBSEA' in R: |
| install.packages('EBSEA', repos = c('https://bioc-release.r-universe.dev', 'https://cloud.r-project.org')) |
- exonCounts - Subset of Pasilla Dataset
On BioConductor:EBSEA-1.41.0(bioc 3.24)EBSEA-1.40.0(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
softwaredifferentialexpressiongeneexpressionsequencing
Last updated from:767a69c44b (on RELEASE_3_23). Checks:1 ERROR, 9 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | ERROR | 169 | ||
| linux-devel-x86_64 | OK | 281 | ||
| source / vignettes | OK | 237 | ||
| linux-release-x86_64 | OK | 286 | ||
| macos-release-arm64 | OK | 175 | ||
| macos-oldrel-arm64 | OK | 138 | ||
| windows-devel | OK | 194 | ||
| windows-release | OK | 192 | ||
| windows-oldrel | OK | 219 | ||
| wasm-release | OK | 190 |
Exports:EBSEAfilterCountsvisualizeGenes
Dependencies:abindBHBiobaseBiocGenericsBiocParallelclicodetoolscpp11DelayedArrayDESeq2EmpiricalBrownsMethodfarverformatRfutile.loggerfutile.optionsgenericsGenomicRangesggplot2gluegtableIRangesisobandlabelinglambda.rlatticelifecyclelocfitMatrixMatrixGenericsmatrixStatsR6RColorBrewerRcppRcppArmadillorlangS4ArraysS4VectorsS7scalesSeqinfosnowSparseArraySummarizedExperimentvctrsviridisLitewithrXVector
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Exon Based Startegy for Expression Analysis of genes | EBSEA |
| Subset of Pasilla Dataset | exonCounts |
| Filter Count Data | filterCounts |
| Visualize gene | visualizeGenes |
