Target-gene variance baseline (Kendiukhov 2026)
Variance of each candidate target gene.
Overview
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Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.
Evaluations and results
2 evaluations · 2 results. Different protocols are not a single leaderboard.
Sorted by AUROC (per-perturbation AUROC for DE targets (LFC > 0.5), summarised over perturbations; K562 CRISPRi) (higher is better). The best value in each column is highlighted. Decimals are rounded for display; each value links to the printed value and its source.
| Tested configuration | Protocol and dataset | AUROC (per-perturbation AUROC for DE targets (LFC > 0.5), summarised over perturbations; K562 CRISPRi) | AUROC (per-perturbation AUROC for DE targets, summarised over perturbations; RPE1 CRISPRi) |
|---|---|---|---|
| Target-gene variance baseline (Kendiukhov 2026)Evaluation | Perturbation-first AUROC, K562 CRISPRi (Kendiukhov 2026), Replogle genome-scale CRISPRi, K562, 151 perturbations (Kendiukhov 2026) | 0.881 | Not reported |
| Target-gene variance baseline (Kendiukhov 2026)Evaluation | Perturbation-first AUROC, RPE1 CRISPRi (Kendiukhov 2026), Replogle genome-scale CRISPRi, RPE1, 1,167 perturbations, confound battery (Kendiukhov 2026) | Not reported | 0.866 |
All 2 result rows with coverage, uncertainty and sources
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Source checking is not independent reproduction. Release 2026-11-02-a7f03c9e55a5.
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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 2026-11-02-a7f03c9e55a5 · Record review: source checked
1 source record and release history
- Systematic evaluation of single-cell foundation model interpretability: attention-derived edge scores add no incremental value over gene-level features for perturbation-target prediction (Kendiukhov 2026, BMC Genomics 27:634) · Original source · Version of record, BMC Genomics 27:634, published 2026-07-22 (received 2026-03-10, accepted 2026-05-14)
Technical metadata and extraction receipts
Stable ID: gfm-guides-20261014-kendiukhov2026-config-gene-variance
- areas
- single-cell; biological-networks
- contexts
- research
- method types
- conventional_pipeline
- reported name
- variance
- foundation model eligible
- false
- representation
- Variance of each candidate target gene.
- source locator
- Page 13 'Models and data', 'Attention extraction and edge score computation', 'Model coverage by analysis family'
- training setting
- Computed from each dataset's control cells
- access reuse
- Analysis code github.com/Biodyn-AI/biomechinterp-framework and Zenodo 10.5281/zenodo.18701417; not pinned to a commit in the article
- missing metadata
- version: reason: inapplicable; note: Defined in the article