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Reliable single-cell perturbations explain and improve model performance
This work tests the reliability of perturbations and their alignment with shared perturbation responses, classifying each perturbation as specific, shared, or unreliable, and applies these quality labels to published benchmarks shows that model comparisons depend on perturbation quality.
An end-to-end computational framework for “Record-seq” transcriptional recording data
To address the primary computational bottleneck of spacer sequence extraction, a wavefront alignment approach is implemented for efficient quasi-local pattern matching, achieving an approximately 30-fold speedup and introducing transcription unit-based feature counting as an alternative to gene-body quantification to b...