Bioinformatics
Clustering analysis is a statistical method used to group a set of objects or data points into clusters based on their similarities. This technique is particularly useful in identifying patterns within large datasets, helping researchers understand the inherent structure of the data. In the context of single-cell transcriptomics, clustering analysis allows for the classification of individual cells based on gene expression profiles, providing insights into cellular heterogeneity and biological functions.
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