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One of the most common and usually the first step in scRNA-seq analysis is the clustering of cells. This step aims to find groups of cells with similar expression patterns, which may correspond to similar cell types. There is a wide variety of algorithms to perform the clustering, being Seurat package one of the most widely used by the scientific community. Learn how to run Seurat easily with OmicsBox:
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