Fig. 1
From: DANCE: a deep learning library and benchmark platform for single-cell analysis
User perspective of DANCE platform. a Overview of single-cell omics analysis pipeline with DANCE platform. Benchmark datasets by the task are organized and cached on the cloud in advance for users’ usage. Those data cover scRNA-seq data, multimodal single-cell data like Chromium Single Cell Multiome ATAC + Gene Expression and cellular indexing of transcriptomes and epitopes (CITE-seq), and spatially resolved transcriptomic data. After automatic data downloading from the cloud, the DANCE built-in preprocessing and graph construction (required for graph neural networks model development) are then executed. Subsequently, users can build up their own models via customized deep learning model module in DANCE or utilize our reimplemented state-of-the-art deep learning models in DANCE to accomplish downstream tasks. b Currently supported downstream tasks in DANCE