Simulating paired and longitudinal single-cell RNA sequencing data with rescueSim.

ABSTRACT:

Motivation

As single-cell RNA-sequencing (scRNA-seq) becomes more widely used in transcriptomic research, complex experimental designs, such as paired or longitudinal studies, become increasingly feasible. Paired/longitudinal scRNA-seq enables the study of transcriptomic changes over time within specific cell types, yet guidance on analytical approaches and resources for study planning, such as power analysis, remains limited. Data simulation is a valuable tool for evaluating analysis method performance and informing study design decisions, including sample size selection. Currently, most scRNA-seq simulation methods simulate cells for a single sample, thus ignoring the between-sample and between-subject variability inherent to paired/longitudinal scRNA-seq data.

Results

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SUBMITTER: Wynn EA 

PROVIDER: S-EPMC12366488 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature