Precise annotation of clusters in Seurat plays a critical role in extracting valuable insights from single-cell RNA sequencing (scRNA-seq) datasets. By associating computationally detected clusters with biological relevance, researchers can better understand cellular heterogeneity and functionality. This guide offers a comprehensive step-by-step overview of methods, tools, and strategies for effective cluster annotation, aiming to achieve reliable and high-quality outcomes in scRNA-seq analyses.
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