STEAM: Spatial Transcriptomics Evaluation Algorithm and Metric for clustering performance.

ABSTRACT:

Motivation

Spatial transcriptomic technologies allow researchers to explore the diversity and specificity of gene expression within their original tissue structure. Accurately identifying regions that are spatially coherent in both gene expression and physical tissue structures is an emerging topic, but challenging due to the lack of ground truth labels which renders complicating validation of clustering consistency and reproducibility. This highlights a need for a computational evaluation framework to rigorously and unbiasedly assess clustering performance.

Results

To address this gap, we propose STEAM (Spatial Transcriptomics Evaluation Algorithm and Metric), a user-friendly computational pipeline designed to evaluate the consistency and reliability of clustering results b

SUBMITTER: Reynoso S 

PROVIDER: S-EPMC11870515 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature