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harmony-batch-correction

Harmony batch correction for scRNA-seq and other omics. Removes batch effects from PCA embeddings while preserving biology. Run after PCA, before UMAP. Scales to millions of cells. Python (harmonypy, scanpy) and R (Seurat).

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Atualizado há 4 meses

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Harmony Batch Correction

Overview

Harmony is a fast, scalable algorithm for batch integration in single-cell data. It takes a PCA embedding (cells × PCs) as input and returns a corrected embedding from which batch effects have been regressed out via iterative soft-clustering and per-cluster linear regression. The corrected embedding is then used to compute neighbors, UMAP, and downstream clustering — the raw count matrix is never modified. Harmony works for single-cell RNA-seq, ATAC-seq,

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