Dimensional reduction methods – PCA In the previous blog, we introduced dimension reduction in single cell RNA-Sequencing (scRNA-Seq). 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 blog, we will discuss the dimension reduction method PCA. … Continue reading PCA method – Dimensionality Reduction in Single Cell Genomics