Researchers from the National University of Singapore (NUS) have developed CellScope, a high-performance single-cell analysis ...

The ability to analyze gene expression at the single-cell level—known as single-cell RNA sequencing (scRNA-seq)—has transformed life sciences, driving discoveries across immunology, oncology, and ...

Cell clustering serves as a key task in transcriptomic data analysis, playing a crucial role in cell type annotation, marker gene identification, and the discovery of rare cell populations. With the ...

ArgenTag joins PacBio to enable instrument-free single-cell kits to support long-read isoform sequencing at single-cell ...

Clearance mechanisms are key to removing aggregates and maintaining metastability.

Cell clustering can vary wildly depending on algorithm settings like the random seed — even with the exact same data. scICE automatically detects and removes unstable groupings, giving researchers ...