Single cell experiment viewer (SCEV) enables researchers to explore single-cell experiments in an interactive visual environment, overlaying curated cell metadata and gene expression patterns to reveal biologically meaningful cell states. By applying IPA’s embedding model of causal relationships, SCEV predicts upstream regulators and downstream functions that are likely active in specific cells or cell populations, helping users move from visualization to mechanistic interpretation.

Check out the dataset: https://omicsoft-explorer.ingenuity.com/scev/human_umi_b38_gc33/E-MTAB-7407_UMI_GPL20301_CellMap1