Published comparison transcribed from the pinned source; not reproduced.
1 evaluation · 7 results. Different protocols are not a single leaderboard.
Protocol: PerturBench v4 covariate transfer to a held-out cell line on Srivatsan20 · Dataset subset: Srivatsan20 (PerturBench v4 covariate-transfer split)
Sorted by Perturbench cosine logfc (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 | Perturbench cosine logfc | Perturbench cosine logfc rank | Perturbench energy mmd (gene expression space) | Perturbench energy mmd (PCA space: top 256 principal components fitted on the ground-truth test split) | Perturbench RMSE of mean | Perturbench RMSE rank | Recall (DEG recall: fraction of the top 20 ground-truth DEGs (scanpy t-scores against controls) recalled from predicted cells) |
|---|---|---|---|---|---|---|---|
| LAEvaluation | 0.45 ± 2 × 10 − 3 | 0.13 ± 4 × 10 − 3 | 4.3 ± 2 × 10 − 1 | 2.0 ± 2 × 10 − 1 | 0.018 ± 6 × 10 − 5 | 0.15 ± 3 × 10 − 3 | 0.000 ± 0 |
Applied filters: All linked evaluations
| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: LA | Protocol: PerturBench v4 covariate transfer to a held-out cell line on Srivatsan20 Dataset subset: Srivatsan20 (PerturBench v4 covariate-transfer split) | 0.13 ± 4 × 10 − 3 Perturbench cosine logfc rank fraction · lower Uncertainty: SD 0.004 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceLA on PerturBench v4 srivatsan20 lit-cells-networks-20261011-perturbench-v4-protocol-srivatsan20 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 2, row 'LA', column 'Cosine LogFC rank' |
| Configuration: LA | Protocol: PerturBench v4 covariate transfer to a held-out cell line on Srivatsan20 Dataset subset: Srivatsan20 (PerturBench v4 covariate-transfer split) | 0.45 ± 2 × 10 − 3 Perturbench cosine logfc fraction · higher Uncertainty: SD 0.002 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceLA on PerturBench v4 srivatsan20 lit-cells-networks-20261011-perturbench-v4-protocol-srivatsan20 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 2, row 'LA', column 'Cosine LogFC' |
| Configuration: LA | Protocol: PerturBench v4 covariate transfer to a held-out cell line on Srivatsan20 Dataset subset: Srivatsan20 (PerturBench v4 covariate-transfer split) | 0.000 ± 0 Recall (DEG recall: fraction of the top 20 ground-truth DEGs (scanpy t-scores against controls) recalled from predicted cells) fraction · higher Uncertainty: SD 0 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceLA on PerturBench v4 srivatsan20 lit-cells-networks-20261011-perturbench-v4-protocol-srivatsan20 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 2, row 'LA', column 'DEG recall' |
| Configuration: LA | Protocol: PerturBench v4 covariate transfer to a held-out cell line on Srivatsan20 Dataset subset: Srivatsan20 (PerturBench v4 covariate-transfer split) | 2.0 ± 2 × 10 − 1 Perturbench energy mmd (PCA space: top 256 principal components fitted on the ground-truth test split) unit-unreported · lower Uncertainty: SD 0.2 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceLA on PerturBench v4 srivatsan20 lit-cells-networks-20261011-perturbench-v4-protocol-srivatsan20 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 2, row 'LA', column 'MMD PCA' |
| Configuration: LA | Protocol: PerturBench v4 covariate transfer to a held-out cell line on Srivatsan20 Dataset subset: Srivatsan20 (PerturBench v4 covariate-transfer split) | 4.3 ± 2 × 10 − 1 Perturbench energy mmd (gene expression space) unit-unreported · lower Uncertainty: SD 0.2 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceLA on PerturBench v4 srivatsan20 lit-cells-networks-20261011-perturbench-v4-protocol-srivatsan20 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 5, row 'LA', column 'MMD' |
| Configuration: LA | Protocol: PerturBench v4 covariate transfer to a held-out cell line on Srivatsan20 Dataset subset: Srivatsan20 (PerturBench v4 covariate-transfer split) | 0.15 ± 3 × 10 − 3 Perturbench RMSE rank fraction · lower Uncertainty: SD 0.003 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceLA on PerturBench v4 srivatsan20 lit-cells-networks-20261011-perturbench-v4-protocol-srivatsan20 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 5, row 'LA', column 'RMSE mean rank' |
| Configuration: LA | Protocol: PerturBench v4 covariate transfer to a held-out cell line on Srivatsan20 Dataset subset: Srivatsan20 (PerturBench v4 covariate-transfer split) | 0.018 ± 6 × 10 − 5 Perturbench RMSE of mean unit-unreported · lower Uncertainty: SD 0.00006 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceLA on PerturBench v4 srivatsan20 lit-cells-networks-20261011-perturbench-v4-protocol-srivatsan20 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 5, row 'LA', column 'RMSE mean' |
Source checking is not independent reproduction. Release 2026-10-23-5347695500ed.
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PerturBench v4 covariate transfer to a held-out cell line on Srivatsan20
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18 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Comparison: adaptation Trained from scratch per dataset with HPO Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) Table 2, row 'LA' Version: arXiv 2408.10609v4, posted 2025-10-24 (NeurIPS 2025 Datasets and Benchmarks Track version) | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact bytes of the arXiv HTML rendering of v4 as retrieved; arXiv may regenerate HTML, so the hash describes this retrieval. |
| Comparison: aggregation Mean over 5 seeds Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) Table 2, row 'LA' Version: arXiv 2408.10609v4, posted 2025-10-24 (NeurIPS 2025 Datasets and Benchmarks Track version) | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact bytes of the arXiv HTML rendering of v4 as retrieved; arXiv may regenerate HTML, so the hash describes this retrieval. |
| Comparison: budget Optuna HPO, at least 60 trials Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) Table 2, row 'LA' Version: arXiv 2408.10609v4, posted 2025-10-24 (NeurIPS 2025 Datasets and Benchmarks Track version) | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact bytes of the arXiv HTML rendering of v4 as retrieved; arXiv may regenerate HTML, so the hash describes this retrieval. |
| Comparison: dataset version Not reported Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) Table 2, row 'LA' Version: arXiv 2408.10609v4, posted 2025-10-24 (NeurIPS 2025 Datasets and Benchmarks Track version) | missing or unspecified No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact bytes of the arXiv HTML rendering of v4 as retrieved; arXiv may regenerate HTML, so the hash describes this retrieval. |
| Comparison: inputs Control cells with matched covariates and perturbation identity Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) Table 2, row 'LA' Version: arXiv 2408.10609v4, posted 2025-10-24 (NeurIPS 2025 Datasets and Benchmarks Track version) | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact bytes of the arXiv HTML rendering of v4 as retrieved; arXiv may regenerate HTML, so the hash describes this retrieval. |
| Comparison: metric implementation PerturBench evaluation module (Section 4.2) Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) Table 2, row 'LA' Version: arXiv 2408.10609v4, posted 2025-10-24 (NeurIPS 2025 Datasets and Benchmarks Track version) | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact bytes of the arXiv HTML rendering of v4 as retrieved; arXiv may regenerate HTML, so the hash describes this retrieval. |
| Comparison: population Not reported Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) Table 2, row 'LA' Version: arXiv 2408.10609v4, posted 2025-10-24 (NeurIPS 2025 Datasets and Benchmarks Track version) | missing or unspecified No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact bytes of the arXiv HTML rendering of v4 as retrieved; arXiv may regenerate HTML, so the hash describes this retrieval. |
| Comparison: protocol id lit-cells-networks-20261011-perturbench-v4-protocol-srivatsan20 Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) Table 2, row 'LA' Version: arXiv 2408.10609v4, posted 2025-10-24 (NeurIPS 2025 Datasets and Benchmarks Track version) | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact bytes of the arXiv HTML rendering of v4 as retrieved; arXiv may regenerate HTML, so the hash describes this retrieval. |
| Comparison: split Srivatsan20 sci-Plex chemical perturbations in three cell lines (A549, K562, MCF-7), split by PerturBench v4 to test transfer to a held-out cell line. Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) Table 2, row 'LA' Version: arXiv 2408.10609v4, posted 2025-10-24 (NeurIPS 2025 Datasets and Benchmarks Track version) | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact bytes of the arXiv HTML rendering of v4 as retrieved; arXiv may regenerate HTML, so the hash describes this retrieval. |
| Origin author_reported Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) Table 2, row 'LA' Version: arXiv 2408.10609v4, posted 2025-10-24 (NeurIPS 2025 Datasets and Benchmarks Track version) | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact bytes of the arXiv HTML rendering of v4 as retrieved; arXiv may regenerate HTML, so the hash describes this retrieval. |
Release 2026-10-23-5347695500ed · Record review: source checked
Stable ID: lit-cells-networks-20261011-perturbench-v4-eval-srivatsan20-la