Name Mode Size
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AllClasses.R 100644 12 kb
AllGenerics.R 100644 7 kb
SCONE_DEFAULTS.R 100644 4 kb
biplot.R 100644 2 kb
biplot_interactive.R 100644 3 kb
data.R 100644 3 kb
get_design.R 100644 2 kb
get_normalized.R 100644 3 kb
helper.R 100644 9 kb
pareto_norm.R 100644 2 kb
sample_filtering.R 100644 28 kb
sconeReport.R 100644 36 kb
scone_eval.R 100644 13 kb
scone_main.R 100644 23 kb
scone_wrap.R 100644 26 kb
select_methods.R 100644 2 kb
ziber.R 100644 14 kb
README.md
## SCONE ## <!-- badges: start --> [![Lifecycle: stable](https://img.shields.io/badge/lifecycle-stable-brightgreen.svg)](https://lifecycle.r-lib.org/articles/stages.html#stable) [![BioC status](http://www.bioconductor.org/shields/build/release/bioc/scone.svg)](https://bioconductor.org/checkResults/release/bioc-LATEST/scone) [![R-CMD-check](https://github.com/YosefLab/scone/workflows/R-CMD-check-bioc/badge.svg)](https://github.com/YosefLab/scone/actions) <!-- badges: end --> ### Single-Cell Overview of Normalized Expression data ### SCONE (Single-Cell Overview of Normalized Expression), a package for single-cell RNA-seq data quality control (QC) and normalization. This data-driven framework uses summaries of expression data to assess the efficacy of normalization workflows. ### Install from Bioconductor ### We recommend installation of the package via bioconductor. ```{r} if (!requireNamespace("BiocManager", quietly=TRUE)) install.packages("BiocManager") BiocManager::install("scone") ``` ### Install from Github ### Usually not recommended. To download the development version of the package, use ```{r} BiocManager::install("YosefLab/scone") ``` ### Install for R 3.3 ### You can download the latest release of SCONE for R 3.3 [here](https://github.com/YosefLab/scone/releases/tag/v0.99.0). This is useful only for reproducing old results.