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 ...

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

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 ...

Head and neck squamous cell carcinomas (HNSCC) are the seventh-most prevalent form of cancer and are associated with human papilloma virus infection (HPV-positive) or with tobacco and alcohol use (HPV ...

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 ...