Package: SDAMS 1.25.0

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:Yuntong Li <[email protected]>, Chi Wang <[email protected]>, Li Chen <[email protected]>

SDAMS_1.25.0.tar.gz
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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'))

Peer review:

Datasets:

On BioConductor:SDAMS-1.25.0(bioc 3.20)SDAMS-1.24.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bioconductor-package

3 exports 0.91 score 60 dependencies 2 mentions

Last updated 2 months agofrom:06b53de174

Exports:createSEFromCSVcreateSEFromMatrixSDA

Dependencies:abindaskpassBiobaseBiocGenericsclicolorspacecrayoncurlDelayedArrayfansifarverGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegtablehttrIRangesisobandjsonlitelabelinglatticelifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmgcvmimemunsellnlmeopensslpillarpkgconfigplyrqvalueR6RColorBrewerRcppreshape2rlangS4ArraysS4VectorsscalesSparseArraystringistringrSummarizedExperimentsystibbletrustUCSC.utilsutf8vctrsviridisLitewithrXVectorzlibbioc

SDAMS Vignette

Rendered fromSDAMS.Rnwusingutils::Sweaveon Jun 14 2024.

Last update: 2023-07-26
Started: 2018-02-01