CTEC single-cell RNA-seq ensemble clustering

The five benchmark datasets can be download from:

https://drive.google.com/drive/folders/1ZhybTUaBCvIyVY1jiIcIDqTH7SbwXy4Y?usp=drive_link

ctec_two_method_unknown_cluster.py

and

ctec_two_method_known_cluster.py

are used for two methods ensemble on the benchmark datasets, the Leiden and DESC methods are used by default, with and without knowing the true cluster of datasets.

ctec_multiple_method_ensemble.py

is used for multiple methods ensemble on the benchmark datasets, and

ctec_multiple_method_ensemble_draw_umap.py

is for umap drawing.

The Docker image for the CTEC method can be obtained through different options to ensure accessibility and reproducibility.

You can run the command

docker pull lwchn/ctec:v1

on your local machine to obtain the image directly from the Docker Hub repository at https://hub.docker.com/r/lwchn/ctec/tags

Alternatively, you can download the tar file ("ctec_v1.tar") of the Docker image from Google Drive. The file is available at https://drive.google.com/file/d/1GhPMNpS2YpmrFHCPlm-jcOA5FO4v0RUb/view?usp=drive_link

If you prefer, you can create your own CTEC Docker image by using the provided files on the GitHub repository of CTEC. The "Dockerfile" and "requirements.txt" files can be found at the GitHub repository https://github.com/LWCHN/CTEC, with:

docker build ./ -t ctec:v1

docker run -u root -v LOCAL_PATH_OF_GIT_REPO:/ctec_work/:rw ctec:v1 bash -c "python /ctec_work/ctec_two_method_unknown_cluster.py"
docker run -u root -v LOCAL_PATH_OF_GIT_REPO:/ctec_work/:rw ctec:v1 bash -c "python /ctec_work/ctec_two_method_known_cluster.py"
docker run -u root -v LOCAL_PATH_OF_GIT_REPO:/ctec_work/:rw ctec:v1 bash -c "python /ctec_work/ctec_multiple_method_ensemble.py"
docker run -u root -v LOCAL_PATH_OF_GIT_REPO:/ctec_work/:rw ctec:v1 bash -c "python /ctec_work/ctec_multiple_method_ensemble_draw_umap.py"

The "LOCAL_PATH_OF_GIT_REPO" should be replaced by local CTEC project path.

This tool is for research purposes and not approved for clinical use.

This is not an official Tencent product.

This tool is developed in Tencent AI Lab.

The copyright holder for this project is Tencent AI Lab.

All rights reserved.