The study of immunology, traditionally reliant on proteomics to evaluate individual immune
cells, has been revolutionized by single-cell RNA sequencing. Computational …

In recent years, there has been a growing trend in the realm of parallel clustering analysis
for single-cell RNA-seq (scRNA) and single-cell Assay of Transposase Accessible …

Transformer‐based models have revolutionized single cell RNA‐seq (scRNA‐seq) data
analysis. However, their applicability is challenged by the complexity and scale of single …

Cancer is a complex disease intrinsically associated with cellular processes and gene
expression. With the development of techniques such as single-cell sequencing and …

Accurate risk prediction for myocardial infarction (MI) is crucial for preventive strategies,
given its significant impact on global mortality and morbidity. Here, we propose a novel deep …

Studies on human parathyroids are generally limited to hyperfunctioning glands owing to the
difficulty in obtaining normal human tissue. We therefore obtained non-human primate …

The topological structure has consistently been a focal point in single-cell clustering
research. Common methods often construct a k-nearest neighbors (KNN) graph from the cell …

While single-cell technologies have allowed scientists to characterize cell states that emerge
during cancer progression through temporal sampling, connecting these samples over time …

The emergence of single-cell RNA sequencing (scRNA-seq) technology makes it possible to
measure DNA, RNA, and protein in a single cell. Cellular Indexing of Transcriptomes and …

Motivation Single-cell profiling has become a common practice to investigate the complexity
of tissues, organs, and organisms. Recent technological advances are expanding our …