k-nearest-neighbours regression on perturbed-gene features
scikit-learn k-nearest-neighbours regressor mapping a feature embedding of the perturbed gene(s) to the pseudo-bulk post-perturbation expression profile.
No reviewed evaluations are linked here in this release. See the sources and separately identified configurations below.
Overview
scikit-learn k-nearest-neighbours regressor mapping a feature embedding of the perturbed gene(s) to the pseudo-bulk post-perturbation expression profile.
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Sources and history
Release 2026-10-10-7fcc3e48a123 · Record review: source checked
1 source records 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-knn
- areas
- cells-tissues
- contexts
- research
- method types
- conventional_pipeline
- reported name
- k-nearest-neighbours 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: KNN_go (Csendes et al. 2025)
- configuration of: KNN_scElmo (Csendes et al. 2025)
- configuration of: KNN_scFoundation (Csendes et al. 2025)
- configuration of: KNN_scGPT (Csendes et al. 2025)