Algorithm improves detection of differentially expressed genes in large single-cell trajectory data sets

Single-cell RNA sequencing (scRNA-seq) is a method for measuring gene expression in individual cells, allowing observation of various cellular processes, including cell differentiation, the cell cycle and stimulus response, for each unique cell instead of averaging across millions of cells. It provides high-resolution snapshots of biological processes. However, it does not track the same cell continuously over time. To address this limitation, trajectory inference approaches have been developed…

CurrentWire is a news discovery platform. This page summarizes and links to original reporting; full articles, imagery and copyright remain with the publishers listed above.