Dimension reduction methods – UMAP In the previous blog, we introduced dimension reduction in single cell RNA-Sequencing (scRNA-Seq) as well as PCA and t-SNE dimension reduction methods. We have learned that single cell data are sparse, noisy, and high-dimensional and that dimension reduction is needed to turn the data into something more manageable. In this … Continue reading UMAP method- Dimensionality Reduction in Single Cell Genomics