Package: awst 1.13.0
Davide Risso
awst: Asymmetric Within-Sample Transformation
We propose an Asymmetric Within-Sample Transformation (AWST) to regularize RNA-seq read counts and reduce the effect of noise on the classification of samples. AWST comprises two main steps: standardization and smoothing. These steps transform gene expression data to reduce the noise of the lowly expressed features, which suffer from background effects and low signal-to-noise ratio, and the influence of the highly expressed features, which may be the result of amplification bias and other experimental artifacts.
Authors:
awst_1.13.0.tar.gz
awst_1.13.0.zip(r-4.5)awst_1.13.0.zip(r-4.4)awst_1.13.0.zip(r-4.3)
awst_1.13.0.tgz(r-4.4-any)awst_1.13.0.tgz(r-4.3-any)
awst_1.13.0.tar.gz(r-4.5-noble)awst_1.13.0.tar.gz(r-4.4-noble)
awst_1.13.0.tgz(r-4.4-emscripten)awst_1.13.0.tgz(r-4.3-emscripten)
awst.pdf |awst.html✨
awst/json (API)
NEWS
| # Install 'awst' in R: |
| install.packages('awst', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/drisso/awst/issues
On BioConductor:awst-1.13.0(bioc 3.20)awst-1.12.0(bioc 3.19)
Last updated 2 months agofrom:398c0ee68d
Exports:awstgene_filter
Dependencies:abindaskpassBiobaseBiocGenericscrayoncurlDelayedArrayGenomeInfoDbGenomeInfoDbDataGenomicRangeshttrIRangesjsonlitelatticeMatrixMatrixGenericsmatrixStatsmimeopensslR6S4ArraysS4VectorsSparseArraySummarizedExperimentsysUCSC.utilsXVectorzlibbioc
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Asymmetric Within-Sample Transformation | awst awst,matrix-method awst,SummarizedExperiment-method |
| Gene filtering based on heterogeneity | gene_filter gene_filter,matrix-method gene_filter,SummarizedExperiment-method |
