Package: scds 1.23.0

Dennis Kostka

scds: In-Silico Annotation of Doublets for Single Cell RNA Sequencing Data

In single cell RNA sequencing (scRNA-seq) data combinations of cells are sometimes considered a single cell (doublets). The scds package provides methods to annotate doublets in scRNA-seq data computationally.

Authors:Dennis Kostka [aut, cre], Bais Abha [aut]

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scds.pdf |scds.html
scds/json (API)
NEWS

# Install 'scds' in R:
install.packages('scds', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • sce_chcl - Example single cell experiment ('SingleCellExperiment') object

On BioConductor:scds-1.23.0(bioc 3.21)scds-1.22.0(bioc 3.20)

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

singlecellrnaseqqualitycontrolpreprocessingtranscriptomicsgeneexpressionsequencingsoftwareclassification

6.48 score 1 packages 144 scripts 930 downloads 7 mentions 3 exports 49 dependencies

Last updated 2 months agofrom:f0cf1fa30e. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 27 2024
R-4.5-winOKNov 27 2024
R-4.5-linuxOKNov 27 2024
R-4.4-winOKNov 27 2024
R-4.4-macOKNov 27 2024
R-4.3-winOKNov 27 2024
R-4.3-macOKNov 27 2024

Exports:bcdscxdscxds_bcds_hybrid

Dependencies:abindaskpassBiobaseBiocGenericsclicrayoncurldata.tableDelayedArraydplyrfansigenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesgluehttrIRangesjsonlitelatticelifecyclemagrittrMatrixMatrixGenericsmatrixStatsmimeopensslpillarpkgconfigplyrpROCR6RcpprlangS4ArraysS4VectorsSingleCellExperimentSparseArraySummarizedExperimentsystibbletidyselectUCSC.utilsutf8vctrswithrxgboostXVectorzlibbioc

scds:single cell doublet scoring: In-silico doublet annotation for single cell RNA sequencing data

Rendered fromscds.Rmdusingknitr::rmarkdownon Nov 27 2024.

Last update: 2022-09-30
Started: 2019-03-21