Research-in-Progress (RIP) Seminar: Christy Lee (Li JJ), Graduate Student in Statistics and Data Science
ZOOM CA, United StatesTITLE: "scDEED: a statistical method for detecting dubious 2D single-cell embeddings and optimizing t-SNE and UMAP hyperparameters." ABSTRACT: Two-dimensional (2D) embedding methods are crucial for single-cell data visualization. Popular methods such as t-distributed stochastic neighbor embedding(t-SNE) and uniform manifold approximation and projection (UMAP) are commonly used for visualizing cell clusters; however, it is well known […]