bioRxivJClub
BioTrajX: evaluating biological plausibility in single-cell trajectory inference
bioRxiv · · Preprint · Open access
Li, Chang + 1 more
Abstract ↗AI summary
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BioTrajX, an R package, provides three biologically informed metrics—Directionality (D), Order Consistency (O), and Endpoint Validity (E)—to compare single-cell pseudotime trajectories from the same dataset.
- Why it matters: Trajectory inference methods and analysis choices can yield divergent pseudotime orderings, yet existing evaluations often lack standardized ways to incorporate prior biological knowledge.
- What they did: BioTrajX computes Directionality (D) by matching pseudotime to expected progression, Order Consistency (O) by tracking marker-program coherence, and Endpoint Validity (E) by testing enrichment of expected states at endpoints.
- The result: Using these DOE metrics, users can interpretably compare alternative trajectory inference outputs and evaluate root-cell choices before downstream analyses.
The findingWhy it mattersWhat they didThe result
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