1 Citation | 2 Quick Start | 3 Data Input | 4 Data Analysis | 5 Theory for SDAMS | 6 Session Info
Package: SDAMS 1.33.0
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_1.33.0.tar.gz
SDAMS_1.33.0.zip(r-4.7)SDAMS_1.33.0.zip(r-4.6)SDAMS_1.33.0.zip(r-4.5)
SDAMS_1.33.0.tgz(r-4.6-any)SDAMS_1.33.0.tgz(r-4.5-any)
SDAMS_1.33.0.tar.gz(r-4.7-any)SDAMS_1.33.0.tar.gz(r-4.6-any)
SDAMS_1.33.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
SDAMS/json (API)
| # Install 'SDAMS' in R: |
| install.packages('SDAMS', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- exampleSingleCell - Two example datasets for SDAMS package
- exampleSumExp - Two example datasets for SDAMS package
On BioConductor:SDAMS-1.33.0(bioc 3.24)SDAMS-1.32.0(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
immunooncologydifferentialexpressionmetabolomicsproteomicsmassspectrometrysinglecell
Last updated from:db34dc944f. Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | ERROR | 183 | ||
| linux-devel-x86_64 | NOTE | 306 | ||
| source / vignettes | OK | 236 | ||
| linux-release-x86_64 | NOTE | 319 | ||
| macos-release-arm64 | NOTE | 158 | ||
| macos-oldrel-arm64 | NOTE | 176 | ||
| windows-devel | NOTE | 249 | ||
| windows-release | NOTE | 236 | ||
| windows-oldrel | NOTE | 235 | ||
| wasm-release | OK | 167 |
Exports:createSEFromCSVcreateSEFromMatrixSDA
Dependencies:abindBiobaseBiocGenericsclicpp11DelayedArrayfarvergenericsGenomicRangesggplot2gluegtableIRangesisobandlabelinglatticelifecyclemagrittrMatrixMatrixGenericsmatrixStatsplyrqvalueR6RColorBrewerRcppreshape2rlangS4ArraysS4VectorsS7scalesSeqinfoSparseArraystringistringrSummarizedExperimenttrustvctrsviridisLitewithrXVector
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 |
