A cell abundance analysis based on efficient PAM clustering for a better understanding of the dynamics of endometrial remodelling.

ABSTRACT:

Background

Single-cell RNA sequencing (scRNA-seq) is a powerful tool for investigating cell abundance changes during tissue regeneration and remodeling processes. Differential cell abundance supports the initial clustering of all cells; then, the number of cells per cluster and sample are evaluated, and the dependence of these counts concerning the phenotypic covariates of the samples is studied. Analysis heavily depends on the clustering method. Partitioning Around Medoids (PAM or k-medoids) represents a well-established clustering procedure that leverages the downstream interpretation of clusters by pinpointing real individuals in the dataset as cluster centers (medoids) without reducing dimensions. Of note, PAM suffers from high computational costs and memory requirements.

Re

SUBMITTER: Domingo J 

PROVIDER: S-EPMC10664584 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature