In single-cell RNA-sequencing (scRNA-seq), gene expression is assessed at the level of single cells. In dynamic biological systems, it may not be appropriate to assign cells to discrete groups, but rather a continuum of cell states may be observed, e.
In single-cell RNA-sequencing (scRNA-seq), gene expression is assessed at the level of single cells. In dynamic biological systems, it may not be appropriate to assign cells to discrete groups, but rather a continuum of cell states may be observed, e.
Trajectory inference is often used with single-cell RNA-seq data to study dynamic changes in gene expression levels during, e.g., cell cycle, differentiation, or cellular activation. Downstream of trajectory inference, researchers are often interested in discovering genes that are associated with a particular lineage in the trajectory.
Trajectory inference is often used with single-cell RNA-seq data to study dynamic changes in gene expression levels during, e.g., cell cycle, differentiation, or cellular activation. Downstream of trajectory inference, researchers are often interested in discovering genes that are associated with a particular lineage in the trajectory.