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:
scRecover_1.23.0.tar.gz
scRecover_1.23.0.zip(r-4.5)scRecover_1.23.0.zip(r-4.4)scRecover_1.23.0.zip(r-4.3)
scRecover_1.23.0.tgz(r-4.4-any)scRecover_1.23.0.tgz(r-4.3-any)
scRecover_1.23.0.tar.gz(r-4.5-noble)scRecover_1.23.0.tar.gz(r-4.4-noble)
scRecover_1.23.0.tgz(r-4.4-emscripten)scRecover_1.23.0.tgz(r-4.3-emscripten)
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-1.23.0(bioc 3.21)scRecover-1.22.0(bioc 3.20)
geneexpressionsinglecellrnaseqtranscriptomicssequencingpreprocessingsoftware
Last updated 2 months agofrom:b5db9753fe. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 07 2024 |
R-4.5-win | NOTE | Dec 07 2024 |
R-4.5-linux | NOTE | Dec 07 2024 |
R-4.4-win | NOTE | Dec 07 2024 |
R-4.4-mac | NOTE | Dec 07 2024 |
R-4.3-win | NOTE | Dec 07 2024 |
R-4.3-mac | NOTE | Dec 07 2024 |
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 |