Single-cell RNA sequencing (scRNA-seq) has revolutionized how scientists understand the complexity of tissues by examining gene activity in individual cells. However, the data generated from scRNA-seq experiments is often noisy and high-dimensional, making it hard to group similar cells accurately, a process known as clustering. Researchers at Anhui University have developed a new computational …
scMCGF – multi-view clustering for single-cell RNA-seq data based on graph fusion
Share.
