RECOVER
Sequential model optimisation framework for combination screens that combines single-perturbation representations with a bilinear operator, predicts the non-additive (Bliss) component, and estimates uncertainty with deep ensembles to choose the next combinations.
Results are recorded on linked configurations and versions of this method. Their settings and evaluations are kept separate below.
Results on linked records
This method has no results of its own in this release. 4 linked records have results. They are not assigned to the underlying method: each record keeps its own settings and evaluations, and its scores are on its own page.
- RECOVER (gene adaptation) with MPE acquisition Configuration · configuration of this method · 2 evaluations · 9 results
- RECOVER (gene adaptation), trained once on a downsampled set Configuration · configuration of this method · 1 evaluation · 12 results
- RECOVER (gene adaptation) with UCB acquisition Configuration · configuration of this method · 1 evaluation · 4 results
- RECOVER (gene adaptation) with Uniform acquisition Configuration · configuration of this method · 1 evaluation · 4 results
Overview
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How it works, versions and access
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Evidence
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Evidence table
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Sources and history
Release 2026-10-23-5347695500ed · Record review: source checked
1 source record and release history
- Qin et al. 2025, Active Learning for Efficient Discovery of Optimal Combinatorial Perturbations (ICML 2025, PMLR 267) · Original source · Proceedings of the 42nd ICML, PMLR 267:50363-50383, 2025; proceedings PDF qin25g.pdf. The arXiv preprint 2411.12010 was not read.
Technical metadata and extraction receipts
Stable ID: pheno-20261022-qin2025-method-recover
- areas
- cells-tissues
- contexts
- research
- method types
- supervised_machine_learning
- reported name
- RECOVER
- entity level
- method
- source locator
- Section 2 (RECOVER, Bertin et al. 2023); Appendix B 'RECOVER adaptation'
- missing metadata
- version: reason: inapplicable; note: Family record; settings are on configurations
- provenance note
- Described from Qin et al. 2025, who adapted RECOVER (Bertin et al. 2023) from drugs to genes; the RECOVER paper was not read.
- review
- method: source-hash-verification; scope-review; reviewer: claude; reviewer note: Claude (Opus 5.5) review agent, independent of the extraction agent; no human review claimed; date: 2026-10-22; artifact sha256: 983b2da8aed78f0aced27053301c15f0f67ebd0fac706435bb6800e309dd64eb; retrieval url: https://raw.githubusercontent.com/mlresearch/v267/main/assets/qin25g/qin25g.pdf; method note: Re-hashed the PDF in the scratchpad (SHA-256 matches the source record). Read the cited sections in the pdftotext layer of the pinned PDF.; note: Fields checked against the cited locator; nothing found that the source does not state.
Related records
- subject: adaptation: pheno-20261022-qin2025-method-recover
- configuration of: RECOVER (gene adaptation) with MPE acquisition
- configuration of: RECOVER (gene adaptation), trained once on a downsampled set
- configuration of: RECOVER (gene adaptation) with UCB acquisition
- configuration of: RECOVER (gene adaptation) with Uniform acquisition