New algorithm makes maps of gene activity easier to compare while preserving cell-level detail

Spatial transcriptomics can reveal where thousands of genes are active across a tissue, creating molecular maps at single-cell resolution. But comparing two such maps is difficult: thin slices of ...
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Understand the k-means clustering algorithm with examples

As data science continues to evolve, the k-means clustering algorithm remains a valuable tool to uncover insights and patterns within complex datasets. Understanding the elbow method and the ...