Cells are the fundamental units of biological systems and exhibit unique development
trajectories and molecular features. Our exploration of how the genomes orchestrate the …

Motivation Single-cell RNA sequencing enables researchers to study cellular heterogeneity
at single-cell level. To this end, identifying cell types of cells with clustering techniques …

The advances in single-cell ribonucleic acid sequencing (scRNA-seq) allow researchers to
explore cellular heterogeneity and human diseases at cell resolution. Cell clustering is a …

Cultured meat has the potential to provide a complementary meat industry with reduced
environmental, ethical, and health impacts. However, major technological challenges …

Single-cell technologies are revolutionizing the entire field of biology. The large volumes of
data generated by single-cell technologies are high dimensional, sparse, and …

Single-cell RNA sequencing (scRNA-seq) enables the exploration of biological
heterogeneity among different cell types within tissues at a resolution. Inferring cell types …

Single-cell RNA sequencing (scRNA-seq) data are typically with a large number of missing
values, which often results in the loss of critical gene signaling information and seriously …

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 …

Many biological systems are characterised by biological entities, as well as their
relationships. These interaction networks can be modelled as graphs, with nodes …

In recent years, there has been significant advancement in the field of single-cell data
analysis, particularly in the development of clustering methods. Despite these …