Single-cell RNA Sequencing: Normalization Methods in a Growing Field
Single-cell RNA sequencing (scRNA-seq) has lead to significant advances in identifying rare cell types and heterogeneity within cell groups, both of which bulk sequencing methods fail to detect. To address the issue of technical noise in results, various normalization methods exist that utilize the known expression values of exogenous ERCC spike-in genes to build a prediction model. In this talk I introduce some existing normalization methods and mention my own progress in devising an additional method with the hopes of improving existing models.
(Bagels and refreshments will be served.)