rewire.it
Paper-reported evidence

AUPRC: a metric for evaluating the performance of in-silico perturbation methods in identifying differentially expressed genes

2025 · Peer-reviewed · PMC archival version PMC12400816.1

Paper-reported results. The values below come from this source, not an independent rewire.it run.

Open primary paper →DOI: 10.1093/bib/bbaf426

Primary full text verified via Europe PMC fullTextXML; venue: Briefings in Bioinformatics; PMC ID: PMC12400816. Paper benchmarks metrics and scGen perturbation method; no foundation-model result in this row.

1 verified numerical rows · source checked 2026-09-15

Paper-reportedIndependent paper evaluation

scGen

differentially expressed gene identification

Reported score
0.91
Metric
precision at 50% recall
Dataset / split
stimulated immune PBMC · CD14+Mono

In-silico perturbation assessment with precision sampled at fixed 50% recall

Table 3, CD14+Mono section, scGen row, Precision at 50% Recall columnVerify at source →