Skip to content

Segmentation and Clustering of Single Cell Sequencing Copy Number Profiles

License

Notifications You must be signed in to change notification settings

KrasnitzLab/SCclust

Folders and files

NameName
Last commit message
Last commit date
Dec 1, 2021
Jun 6, 2018
Oct 8, 2018
Oct 8, 2018
Oct 8, 2018
Oct 8, 2018
Jun 6, 2018
Oct 8, 2018
May 13, 2018
May 13, 2018
Oct 7, 2021
Jul 21, 2021
Jun 6, 2018
Oct 3, 2018
Oct 3, 2018
Oct 3, 2018

Repository files navigation

SCclust R package

DOI

The SCclust package implements feature selection based on breakpoints, permutations for FDRs for Fisher test p-values and identification of the clone structure in single cell copy number profiles.

Threre are two alternative ways to install SCclust package:

  • installation from source;

  • intallation as a conda package.

Installation from source

Conda installer

  • The SCclust package can also be installed using KrasnitzLab Anaconda channel. First create a new conda environment:

    conda create -n scclust
    conda activate scclust
    

    and after that install SCclust inside it:

    conda install -c bioconda -c conda-forge -c krasnitzlab scclust