recipe bioconductor-screcover

scRecover for imputation of single-cell RNA-seq data

Homepage

https://bioconductor.org/packages/3.12/bioc/html/scRecover.html

License

GPL

Recipe

/bioconductor-screcover/meta.yaml

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.

package bioconductor-screcover

Versions

1.6.0-0,  1.4.0-0,  1.2.0-0,  1.0.0-1,  1.0.0-0

Depends

• bioconductor-biocparallel >=1.24.0,<1.25.0

• r-base >=4.0,<4.1.0a0

• r-bbmle >=1.0.18

• r-doparallel

• r-foreach

• r-gamlss >=4.4-0

• r-kernlab

• r-mass >=7.3-45

• r-matrix >=1.2-14

• r-penalized

• r-preseqr >=4.0.0

• r-pscl >=1.4.9

• r-rmagic >=1.3.0

• r-rsvd

• r-saver >=1.1.1

Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-screcover

and update with:

conda update bioconductor-screcover

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-screcover:<tag>

(see bioconductor-screcover/tags for valid values for <tag>)

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-screcover/README.html)