Tag: dimensionality reduction

Single cell RNA sequencing data has a growing role in disease research for finding both potential genetic factors and paths to new treatments. An important component of this process involves building maps of sequencing data with dimensionality reduction tools and querying specific subsets for visualization, but this can be slow due to the size of […]