https://github.com/YosefLab/scone

https://github.com/YosefLab/scone

Last synced: 23 days ago
JSON representation

• Host: GitHub
• URL: https://github.com/YosefLab/scone
• Owner: YosefLab
• Created: 2016-02-02T22:26:33.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2024-03-07T23:20:17.000Z (4 months ago)
• Last Synced: 2024-03-22T04:20:26.480Z (3 months ago)
• Language: R
• Size: 36 MB
• Stars: 52
• Watchers: 37
• Forks: 12
• Open Issues: 32
• Metadata Files:
  • Readme: README.md

Lists

• awesome_single_cell - SCONE - [R] - 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. (Software packages / RNA-seq)
• awesome-single-cell - SCONE - [R] - 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. (Software packages / Quality control)
• awesome-single-cell - SCONE - [R] - 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. (Software packages / RNA-seq)
• roryk-awesome-single-cell - SCONE - [R] - 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. (Software packages)

README

        
## SCONE ##

[![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)

### 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.