Introductioon
In scRNA-seq data analysis, one of the most crucial and demanding tasks is determining the optimal resolution and cluster number. Achieving an appropriate balance between over-clustering and under-clustering is often intricate, as it directly impacts the identification of distinct cell populations and biological insights.
The clustering algorithms have many parameters to tune and it can generate more clusters if …