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bio-spatial-transcriptomics-spatial-preprocessing

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Quality control, filtering, normalization, and feature selection for spatial transcriptomics data. Calculate QC metrics, filter spots/cells, normalize counts, and identify highly variable genes. Use when filtering and normalizing spatial transcriptomics data.

When to use

• Calculate spatial QC metrics
• Filter spots by expression and tissue coverage
• Normalize counts
• Identify highly variable genes
• Calculate mitochondrial content
• Visualize QC metrics on tissue
• Filter genes
• Identify spatially variable genes

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