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Fast, sensitive and accurate integration of single-cell data with Harmony - immunogenomics/harmony.
- RunHarmony.RFast, sensitive and accurate integration of single-cell data ...
- README.mdFast, sensitive and accurate integration of single-cell data ...
- DescriptionDescription: Implementation of the Harmony algorithm for single ...
- harmony/R/data.R at masterFast, sensitive and accurate integration of single-cell data ...
- Harmony v2.0.3 Fails to ...I've encountered an issue where the new version of Harmony (v2 ...
- RunHarmony.RdFast, sensitive and accurate integration of single-cell data ...
Harmony is a general-purpose R package with an efficient algorithm for integrating multiple data sets. It is especially useful for large single-cell ...
Harmony is designed to be user-friendly and supports some SingleCellExperiment and Seurat R analysis pipelines. Alternatively, it can be used in standalone mode ...
Harmony is a unified framework for data visualization, analysis and interpretation of scRNA-seq data measured across discrete time points.
Harmony enables the integration of ~106 cells on a personal computer. We apply Harmony to peripheral blood mononuclear cells from datasets with large ...
This animation shows Harmony aligning three single-cell RNA-seq datasets from different donors. ... Fast, sensitive and accurate integration of single-cell data ...
2025/12/1 -Harmony can integrate over multiple covariates, allowing you to provide both control/treatment and batch information, and run it once. Running ...