Package: scRecover 1.21.0
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:
scRecover_1.21.0.tar.gz
scRecover_1.21.0.zip(r-4.5)scRecover_1.21.0.zip(r-4.4)scRecover_1.21.0.zip(r-4.3)
scRecover_1.21.0.tgz(r-4.4-any)scRecover_1.21.0.tgz(r-4.3-any)
scRecover_1.21.0.tar.gz(r-4.5-noble)scRecover_1.21.0.tar.gz(r-4.4-noble)
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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')) |
Bug tracker:https://github.com/miaozhun/screcover/issues
On BioConductor:scRecover-1.21.0(bioc 3.20)scRecover-1.20.0(bioc 3.19)
Last updated 2 months agofrom:c7c6ede640
Exports:countsSamplingestDropoutNumnormalizationscRecover
Dependencies:bbmlebdsmatrixBHBiocParallelcodetoolscpp11doParallelforeachformatRfutile.loggerfutile.optionsgamlssgamlss.datagamlss.distglmnetiteratorskernlablambda.rlatticeMASSMatrixmvtnormnlmenumDerivpenalizedpolynompreseqRpsclRcppRcppArmadilloRcppEigenrsvdSAVERshapesnowsurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| countsSampling: Downsampling the read counts in a cell | countsSampling |
| estDropoutNum: Estimate dropout gene number in a cell | estDropoutNum |
| normalization: Normalization for single-cell RNA-seq data | normalization |
| scRecover: Imputation for single-cell RNA-seq data | scRecover |
| scRecoverTest: A test dataset for scRecover | counts labels oneCell scRecoverTest |