# socube **Repository Path**: GCSZHN/socube ## Basic Information - **Project Name**: socube - **Description**: A simple python package for doublet detection in scRNA-seq data - **Primary Language**: Python - **License**: MIT - **Default Branch**: main - **Homepage**: https://www.gcszhn.top/socube/ - **GVP Project**: No ## Statistics - **Stars**: 1 - **Forks**: 0 - **Created**: 2022-07-17 - **Last Updated**: 2022-08-31 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # SoCube ![license](https://img.shields.io/badge/license-MIT%20License-blue.svg) ![python](https://img.shields.io/badge/python->=3.7-success.svg) ![torch](https://img.shields.io/badge/torch->=1.8.1-success.svg) [![docker](https://img.shields.io/badge/docker-support-success.svg)](https://hub.docker.com/r/gcszhn/socube) [![pypi](https://github.com/GCS-ZHN/socube/actions/workflows/pypi.yml/badge.svg)](https://pypi.org/project/socube/) [![pmid](https://img.shields.io/badge/PMID-NOT%20available-red.svg)](https://pubmed.ncbi.nlm.nih.gov/) SoCube Workflow ## Introduction SoCube is an end-to-end doublet detection tool with novel feature embedding strategy. [User manual](https://www.gcszhn.top/socube/) is published on this repo's github page. ## Installment You can just install socube by executing pip command. ```bash pip install socube ``` For install detail, please see at [user manual](https://www.gcszhn.top/socube/). ## Usage The basic usage of socube with gpus is as follows. ```bash socube -i data/pbmc-1C-dm.h5ad --gpu-ids 0 ``` Please visit our [user manual](https://www.gcszhn.top/socube/) for usage detail. ## Help Any problem, you could create an [issue](https://github.com/GCS-ZHN/socube/issues), we will receive an email sent by github and reply it as soon as possible.