TrAGEDy-trajectory alignment of gene expression dynamics.

ABSTRACT:

Motivation

Single-cell transcriptomics sequencing is used to compare different biological processes. However, often, those processes are asymmetric which are difficult to integrate. Current approaches often rely on integrating samples from each condition before either cluster-based comparisons or analysis of an inferred shared trajectory.

Results

We present Trajectory Alignment of Gene Expression Dynamics (TrAGEDy), which allows the alignment of independent trajectories to avoid the need for error-prone integration steps. Across simulated datasets, TrAGEDy returns the correct underlying alignment of the datasets, outperforming current tools which fail to capture the complexity of asymmetric alignments. When applied to real datasets, TrAGEDy captures more biologically relevan

SUBMITTER: Laidlaw RF 

PROVIDER: S-EPMC11908647 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature