Research Object Crate for Multi-scale single-cell clustering (MSC) workflow

Original URL: https://workflowhub.eu/workflows/1875/ro_crate?version=1

### Overview **Developmental version of MSC**: This github page contains developmental version of R package for Multi-scale clustering (MSC) to perform single-cell transcriptome clustering. The manuscript is currently under review. ### Installation: MEGENA needs to be installed, prior to MSC installation: library(devtools); install_github("songw01/MEGENA"); For installation for developmental github version: library(devtools); install_github("songlabcodes/MSC"); **Vignettes** [PBMC 8k example](http://htmlpreview.github.io/?https://github.com/songlabcodes/MSC/blob/main/vignettes/8k_PBMC_Example.html): This contains the overall MSC workflow from data pre-processing, clustering, marker identification to visualization of the results. [pipeComp vignettes](http://htmlpreview.github.io/?https://github.com/songlabcodes/MSC/blob/main/vignettes/pipeComp_workflow.html): Comparative analysis of MSC performance with other benchmark clustering methods using pipeComp data sets with gold standard ground-truth clusters. Reproduces Figure 4 of manuscript. [Ding et al. 2020 vignettes](http://htmlpreview.github.io/?https://github.com/songlabcodes/MSC/blob/main/vignettes/Ding_et_al_2020_workflow.html): Comparative analysis of MSC performance with other benchmark clustering methods using pipeComp data sets with gold standard ground-truth clusters. Reproduces Figure 5 of manuscript. [Lee et al. 2020 vignette](http://htmlpreview.github.io/?https://github.com/songlabcodes/MSC/blob/main/vignettes/Lee_et_al_2020_workflow.html): Codes to reproduce MSC analysis of influenza/COVID-19 infected PMBC scRNA-seq from Lee et al. 2020. [Wu et al. 2021 vignette](http://htmlpreview.github.io/?https://github.com/songlabcodes/MSC/blob/main/vignettes/Wu_et_al_2021_workflow.html): Codes to reproduce MSC analysis of breast cancer single-cell atlas from Wu et al. 2021. **Disclaimer**: Data files for examples (pbmc_8k_msc_results.rda, simMix1.rda) are distributed under the CC0 1.0 Universal (CC0 1.0) Public Domain Dedication (https://creativecommons.org/publicdomain/zero/1.0/). Otherwise, the codes are distrubuted under GPL-3.0 license as creative works.

Author
Won-Min Song
License
GPL-3.0

Contents

Main Workflow: Multi-scale single-cell clustering (MSC) workflow
Size: 16672 bytes