Fig. 2

Overview of SingleScan Model. A Data collection methods. Using a Python program to get thousands of DOI numbers of publications and return results local single-cell publication library (scLibrary). The tools/studies were then manually curated. B The flow chart of data collection and annotation. C The main functions of SingleScan include: (1) Search by tools, a feature that allows users to search for tools by functions or related key words (e.g. clustering, quality control). (2) Search by functions, a feature that allows users to search for appropriate tools according to their analysis tasks. (3) Search by publications, a feature that allows users to obtain detailed information about the tools, R packages and parameters that used in each publication, and other related data, including the number of cells, sequencing platforms, clinical information. (4) Data download. D SingleScan collects literature on benchmarks for single-cell analysis methods to help users choose the most suitable tool at each step