Clustering complex data structures remains a pivotal challenge in unsupervised learning, particularly when determining the optimal number of clusters in highly non-linear datasets. In this paper, we ...

Single-cell RNA sequencing (scRNA-seq) technologies have become essential tools for characterizing cellular landscapes within complex tissues. Large-scale single-cell transcriptomics holds great ...

A collaborative study has developed a software called gutSMASH that identifies primary metabolic gene clusters (MGCs) in specific microbial taxonomic groups that are important in host–microbiome ...