Package: SDAMS 1.27.0
Yuntong Li
SDAMS: Differential Abundant/Expression Analysis for Metabolomics, Proteomics and single-cell RNA sequencing Data
This Package utilizes a Semi-parametric Differential Abundance/expression analysis (SDA) method for metabolomics and proteomics data from mass spectrometry as well as single-cell RNA sequencing data. SDA is able to robustly handle non-normally distributed data and provides a clear quantification of the effect size.
Authors:
SDAMS_1.27.0.tar.gz
SDAMS_1.27.0.zip(r-4.5)SDAMS_1.27.0.zip(r-4.4)SDAMS_1.27.0.zip(r-4.3)
SDAMS_1.27.0.tgz(r-4.4-any)SDAMS_1.27.0.tgz(r-4.3-any)
SDAMS_1.27.0.tar.gz(r-4.5-noble)SDAMS_1.27.0.tar.gz(r-4.4-noble)
SDAMS_1.27.0.tgz(r-4.4-emscripten)SDAMS_1.27.0.tgz(r-4.3-emscripten)
SDAMS.pdf |SDAMS.html✨
SDAMS/json (API)
NEWS
| # Install 'SDAMS' in R: |
| install.packages('SDAMS', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- exampleSingleCell - Two example datasets for SDAMS package
- exampleSumExp - Two example datasets for SDAMS package
On BioConductor:SDAMS-1.27.0(bioc 3.21)SDAMS-1.26.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
immunooncologydifferentialexpressionmetabolomicsproteomicsmassspectrometrysinglecell
Last updated 23 days agofrom:faef9bc609. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 19 2024 |
| R-4.5-win | NOTE | Nov 19 2024 |
| R-4.5-linux | NOTE | Nov 19 2024 |
| R-4.4-win | NOTE | Nov 19 2024 |
| R-4.4-mac | NOTE | Nov 19 2024 |
| R-4.3-win | NOTE | Nov 19 2024 |
| R-4.3-mac | NOTE | Nov 19 2024 |
Exports:createSEFromCSVcreateSEFromMatrixSDA
Dependencies:abindaskpassBiobaseBiocGenericsclicolorspacecrayoncurlDelayedArrayfansifarvergenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegtablehttrIRangesisobandjsonlitelabelinglatticelifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmgcvmimemunsellnlmeopensslpillarpkgconfigplyrqvalueR6RColorBrewerRcppreshape2rlangS4ArraysS4VectorsscalesSparseArraystringistringrSummarizedExperimentsystibbletrustUCSC.utilsutf8vctrsviridisLitewithrXVectorzlibbioc
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| SDAMS package for differential abundance/expression analysis of Metabolomics, Proteomics and single-cell RNA sequencing data | SDAMS-package |
| Mass spectrometry data input | createSEFromCSV createSEFromMatrix dataInput |
| Two example datasets for SDAMS package | exampleData exampleSingleCell exampleSumExp |
| Semi-parametric differential abuandance/expression analysis | SDA |
