You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
This repository has been archived by the owner on Mar 18, 2023. It is now read-only.
Title: COPYKAT: Inference of genomic copy number and subclonal structure of human tumors from high-throughput single cell RNA data
Version: 0.1.0
Author: Ruli Gao
Maintainer: Ruli Gao <julie.rgao@gmail.com>
Description: COPYKAT is a computational tool using integrative Bayesian approaches to identify genome-wide aneuploidy at 5MB resolution in single cells to separate aneuploid (tumor) cells from diploid (normal) cells, and tumor subclones using high-throughput sc-RNAseq data.