bio-spatial-transcriptomics-spatial-preprocessing

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.

Independent GitHub snapshot · Automated classification · Original documentation governs