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 tissue may be rotated, stretched or otherwise distorted, so equivalent regions do no
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 tissue may be rotated, stretched or otherwise distorted, so equivalent regions do no This story matters for Science & Discovery readers tracking science. Reported by phys.org. Read the full original at the source link below.
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