DANCE benchmark dataset

DANCE is the first standard, generic, and extensible benchmark platform for accessing and evaluating computational methods across the spectrum of benchmark datasets for numerous single-cell analysis tasks. Currently, DANCE supports 3 modules and 8 popular tasks with 32 state-of-art methods on 21 benchmark datasets. People can easily reproduce the results of supported algorithms across major benchmark datasets via minimal efforts, such as using only one command line. In addition, DANCE provides an ecosystem of deep learning architectures and tools for researchers to facilitate their own model development. DANCE is an open-source Python package that welcomes all kinds of contributions.

DANCE是首个标准化、通用化且可扩展的基准测试平台，可用于访问并评估面向各类单细胞分析任务（single-cell analysis tasks）的多类基准数据集（benchmark datasets）上的计算方法。目前，DANCE已支持3个模块、8项主流任务，在21个基准数据集上集成了32种当前最优（state-of-the-art）方法。研究人员仅需付出极小工作量（例如仅执行一条命令行（command line）指令），即可轻松复现主流基准数据集上所支持算法的实验结果。此外，DANCE还搭建了深度学习架构与工具生态系统，助力研究人员开展自研模型的开发工作。DANCE是一款开源Python包，欢迎各类形式的贡献。