CanSig: a benchmarking tool for cancer cell state discovery from single-cell RNA-seq data
This repository contains the complete set of intermediate results, analysis scripts, and data processing pipelines used in our paper "CanSig: a benchmarking tool for cancer cell state discovery from single-cell RNA-seq data." Repository Structure 3ca.csv: 3ca metadata TCGA_data/: The Cancer Genome Atlas dataset files annotations/: Gene signature files configs/: Configuration files for analysis pipelines data/: Raw datasets envs/: Environment configuration files figures/: Generated figures and visualizations profiles/: Execution profiles for cluster execution results/: Analysis outputs and intermediate results scripts/: Analysis and processing scripts survival/: Survival analysis data and results
Institutions
- ETH Zurich (CH)
- Dana-Farber Cancer Institute (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-01-28
- DOI
- https://doi.org/10.5281/zenodo.14755682
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00