Package: scRecover 1.23.0

Zhun Miao

scRecover: scRecover for imputation of single-cell RNA-seq data

scRecover is an R package for imputation of single-cell RNA-seq (scRNA-seq) data. It will detect and impute dropout values in a scRNA-seq raw read counts matrix while keeping the real zeros unchanged, since there are both dropout zeros and real zeros in scRNA-seq data. By combination with scImpute, SAVER and MAGIC, scRecover not only detects dropout and real zeros at higher accuracy, but also improve the downstream clustering and visualization results.

Authors:Zhun Miao, Xuegong Zhang <[email protected]>

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

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

Peer review:

Bug tracker:https://github.com/miaozhun/screcover/issues

Datasets:
  • counts - ScRecoverTest: A test dataset for scRecover
  • labels - ScRecoverTest: A test dataset for scRecover
  • oneCell - ScRecoverTest: A test dataset for scRecover

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

geneexpressionsinglecellrnaseqtranscriptomicssequencingpreprocessingsoftware

5.20 score 8 stars 9 scripts 160 downloads 1 mentions 4 exports 36 dependencies

Last updated 2 months agofrom:b5db9753fe. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 07 2024
R-4.5-winNOTEDec 07 2024
R-4.5-linuxNOTEDec 07 2024
R-4.4-winNOTEDec 07 2024
R-4.4-macNOTEDec 07 2024
R-4.3-winNOTEDec 07 2024
R-4.3-macNOTEDec 07 2024

Exports:countsSamplingestDropoutNumnormalizationscRecover

Dependencies:bbmlebdsmatrixBHBiocParallelcodetoolscpp11doParallelforeachformatRfutile.loggerfutile.optionsgamlssgamlss.datagamlss.distglmnetiteratorskernlablambda.rlatticeMASSMatrixmvtnormnlmenumDerivpenalizedpolynompreseqRpsclRcppRcppArmadilloRcppEigenrsvdSAVERshapesnowsurvival

scRecover

Rendered fromscRecover.Rmdusingknitr::rmarkdownon Dec 07 2024.

Last update: 2019-04-28
Started: 2019-02-19