| Configuration: Gene-level logistic regression (Kendiukhov 2026) | Protocol: Gene-level logistic regression under 5-fold GroupKFold by perturbation (Kendiukhov 2026) Dataset subset: Replogle genome-scale CRISPRi, K562, 280 evaluable perturbations (Kendiukhov 2026) | 0.895 AUROC (cross-validated AUROC over perturbation-gene pairs, 5-fold GroupKFold by perturbation) unitless · higher Uncertainty: 95% CI 0.884 to 0.905. Methods: bootstrap CIs use 200 iterations with perturbation-level resampling unless otherwise noted Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGene-level logistic regression on Replogle genome-scale CRISPRi, K562, 280 evaluable perturbations gfm-guides-20261014-kendiukhov2026-protocol-incremental-value-lr Aggregation: Not reported 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) · Page 8, 'No incremental pairwise value on the perturbation-target prediction task', paragraph 1, sentence 2: 'Gene-level features alone achieve AUROC = 0.895 [bootstrap 95% CI: 0.884, 0.905]' |
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| Configuration: Gene-level logistic regression plus attention edge (Kendiukhov 2026) | Protocol: Gene-level logistic regression under 5-fold GroupKFold by perturbation (Kendiukhov 2026) Dataset subset: Replogle genome-scale CRISPRi, K562, 280 evaluable perturbations (Kendiukhov 2026) | −0.0004 AUROC difference (Gene-level features plus attention edge minus gene-level features only (gene-level logistic regression); cross-validated AUROC over perturbation-gene pairs, 5-fold GroupKFold by perturbation) unitless · higher Uncertainty: 95% CI -0.001 to 0.000. Methods 'Statistical framework': bootstrap CIs use 200 iterations with perturbation-level resampling unless otherwise noted; Fig. 4B caption: 'Bootstrap ∆AUROC distribution (n = 100)' Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGene-level logistic regression plus attention edge on Replogle genome-scale CRISPRi, K562, 280 evaluable perturbations gfm-guides-20261014-kendiukhov2026-protocol-incremental-value-lr Aggregation: Not reported 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) · Page 8, 'No incremental pairwise value on the perturbation-target prediction task', paragraph 1, sentence 2: 'adding attention yields ∆AUROC = −0.0004 [−0.001, 0.000]' |
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| Configuration: Gene-level logistic regression plus correlation edge (Kendiukhov 2026) | Protocol: Gene-level logistic regression under 5-fold GroupKFold by perturbation (Kendiukhov 2026) Dataset subset: Replogle genome-scale CRISPRi, K562, 280 evaluable perturbations (Kendiukhov 2026) | −0.002 AUROC difference (Gene-level features plus correlation edge minus gene-level features only (gene-level logistic regression); cross-validated AUROC over perturbation-gene pairs, 5-fold GroupKFold by perturbation) unitless · higher Uncertainty: 95% CI -0.005 to 0.000. Methods 'Statistical framework': bootstrap CIs use 200 iterations with perturbation-level resampling unless otherwise noted; Fig. 4B caption: 'Bootstrap ∆AUROC distribution (n = 100)' Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGene-level logistic regression plus correlation edge on Replogle genome-scale CRISPRi, K562, 280 evaluable perturbations gfm-guides-20261014-kendiukhov2026-protocol-incremental-value-lr Aggregation: Not reported 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) · Page 8, 'No incremental pairwise value on the perturbation-target prediction task', paragraph 1, sentence 2: 'adding correlation yields ∆AUROC = −0.002 [−0.005, 0.000]' |
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| Configuration: Geneformer V2-316M attention edges, layer 13 (Kendiukhov 2026) | Protocol: Perturbation-first AUROC, K562 CRISPRi (Kendiukhov 2026) Dataset subset: Replogle genome-scale CRISPRi, K562, 280 evaluable perturbations (Kendiukhov 2026) | 0.704 AUROC (per-perturbation AUROC for DE targets (LFC > 0.5), summarised over perturbations; K562 CRISPRi) unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceGeneformer V2-316M attention edges, layer 13 on Replogle genome-scale CRISPRi, K562, 280 evaluable perturbations gfm-guides-20261014-kendiukhov2026-protocol-pf-k562-crispri Aggregation: Not reported 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) · Page 7, 'Perturbation-first validation reveals gene-level dominance', paragraph 2, sentence 1: 'AUROC = 0.704 at L13 (n = 280 evaluable perturbations)' |
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| Configuration: Geneformer V2-316M attention edges, layer 15 (Kendiukhov 2026) | Protocol: Perturbation-first AUROC, K562 CRISPRi (Kendiukhov 2026) Dataset subset: Replogle genome-scale CRISPRi, K562, 280 evaluable perturbations (Kendiukhov 2026) | 0.743 AUROC (per-perturbation AUROC for DE targets (LFC > 0.5), summarised over perturbations; K562 CRISPRi) unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceGeneformer V2-316M attention edges, layer 15 on Replogle genome-scale CRISPRi, K562, 280 evaluable perturbations gfm-guides-20261014-kendiukhov2026-protocol-pf-k562-crispri Aggregation: Not reported 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) · Page 7, 'Perturbation-first validation reveals gene-level dominance', paragraph 2, sentence 5 (nested cross-validation over 18 layers): 'identifies L15 as the best layer (AUROC = 0.743' |
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| Configuration: Absolute Spearman correlation edges (Kendiukhov 2026) | Protocol: Perturbation-first AUROC, K562 CRISPRi (Kendiukhov 2026) Dataset subset: Replogle genome-scale CRISPRi, K562, 280 evaluable perturbations (Kendiukhov 2026) | 0.703 AUROC (per-perturbation AUROC for DE targets (LFC > 0.5), summarised over perturbations; K562 CRISPRi) unitless · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceAbsolute Spearman correlation edges on Replogle genome-scale CRISPRi, K562, 280 evaluable perturbations gfm-guides-20261014-kendiukhov2026-protocol-pf-k562-crispri Aggregation: Not reported 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) · Page 7, 'Perturbation-first validation reveals gene-level dominance', paragraph 2, sentence 1: '(0.703; Wilcoxon p = 0.73' |
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