Assays

This assay quantifies gene expression at single-cell resolution by linking individual cell transcriptomic profiles to associated experimental or clinical data, enabling integrative analysis across multiple data modalities. Single-cell RNA sequencing (scRNA-seq) technology is employed to capture and measure the transcriptional activity of individual cells, generating high-dimensional expression matrices that are subsequently processed through quality control, normalization, and dimensionality ...

Single cell clustering is a computational analysis assay that groups individual cells into distinct clusters based on transcriptomic or multi-omic feature similarity, enabling the identification and characterization of cell populations within heterogeneous samples. This data-linked implementation integrates clustering outputs with associated metadata and upstream single-cell sequencing data (such as scRNA-seq), applying algorithms such as k-means, graph-based (e.g., Louvain/Leiden), or hierarchical ...