Random forest regression on perturbed-gene features
scikit-learn random forest regressor mapping a feature embedding of the perturbed gene(s) to the pseudo-bulk post-perturbation expression profile.
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.
- RF_go (Csendes et al. 2025) Configuration · configuration of this method · 4 evaluations · 24 results
- RF_scElmo (Csendes et al. 2025) Configuration · configuration of this method · 4 evaluations · 24 results
- RF_scFoundation (Csendes et al. 2025) Configuration · configuration of this method · 4 evaluations · 24 results
- RF_scGPT (Csendes et al. 2025) Configuration · configuration of this method · 4 evaluations · 24 results
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Evidence
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Sources and history
Release 2026-11-02-a7f03c9e55a5 · Record review: source checked
1 source record and release history
- Benchmarking foundation cell models for post-perturbation RNA-seq prediction · Original source · BMC Genomics 26:393, published 2025-04-23; PMC12016270 full-text XML
Technical metadata and extraction receipts
Stable ID: perturbation-response-20261009-method-random-forest
- areas
- cells-tissues
- contexts
- research
- method types
- conventional_pipeline
- reported name
- Random forest regression on perturbed-gene features
- entity level
- method
- source locator
- Results 'Benchmarking of post-perturbation RNA-seq prediction methods' paragraph 4; Methods 'Baseline models'
- missing metadata
- version: reason: inapplicable; note: Family record; versions are on configurations
Related records
- configuration of: RF_go (Csendes et al. 2025)
- configuration of: RF_scElmo (Csendes et al. 2025)
- configuration of: RF_scFoundation (Csendes et al. 2025)
- configuration of: RF_scGPT (Csendes et al. 2025)