bioRxivJClub
Transcriptomic similarity guides source selection beyond tissue lineage
bioRxiv · · Preprint · Open access
Jiang, Pang + 4 more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
Baseline transcriptomic similarity improves source selection for held-out targets beyond tissue lineage, yielding drug-balanced ranking effects of 0.359 (95% CI 0.337–0.383) in GDSC2.
- Why it matters: Perturbational and pharmacogenomic maps are incomplete across cellular contexts, so it is unclear which measured context should guide response prediction for an unmeasured target.
- What they did: Candidate sources were ranked by baseline transcriptomic similarity, then evaluated separately from aggregation and transfer-uncertainty choices using held-out targets in LINCS, GSE306429, MIX-Seq, and a full GDSC2 analysis.
- The result: Similarity-linked ranking utility exceeded random in GSE306429 (ΔU = 0.034; P = 0.002) and MIX-Seq exact-time tasks (ΔU = 0.046), and remained positive under lineage restriction (0.130; 95% CI 0.119–0.141).
The findingWhy it mattersWhat they didThe result
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