PerturBench evaluation of SAMS-VAE* on covariate transfer on Srivatsan20, RMSE mean rank, scored with RMSE mean rank.
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1 evaluation · 1 result. Different protocols are not a single leaderboard.
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| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: SAMS-VAE* | Task: PerturBench CT-RMSE-RANK: covariate transfer on Srivatsan20, RMSE mean rank Dataset subset: Srivatsan20 (PerturBench split) | 0.45 ± 2 × 10 − 2 rmse_mean_rank fraction · lower Uncertainty: type: standard_deviation; value: 0.02 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceSAMS-VAE* on PerturBench CT-RMSE-RANK: covariate transfer on Srivatsan20, RMSE mean rank Train on some cell types and predict drug effects in a held-out cell type, reported as the mean and one standard deviation over seeds. Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis · Table 2, row(SAMS-VAE ∗), column(RMSE, mean rank) |
Source checking is not independent reproduction. Release 2026-09-29-06401fd5b220.
Train on some cell types and predict drug effects in a held-out cell type, reported as the mean and one standard deviation over seeds.
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10 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.comparison.metric_implementation RMSE mean rank Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Table 2, row(SAMS-VAE ∗), column(RMSE, mean rank) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.comparison.protocol_id perturbench-task-ct-rmse-rank Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Table 2, row(SAMS-VAE ∗), column(RMSE, mean rank) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.origin author_reported Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Table 2, row(SAMS-VAE ∗), column(RMSE, mean rank) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.protocol Train on some cell types and predict drug effects in a held-out cell type, reported as the mean and one standard deviation over seeds. Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Table 2, row(SAMS-VAE ∗), column(RMSE, mean rank) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.source_locator Table 2, row(SAMS-VAE ∗), column(RMSE, mean rank) Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Table 2, row(SAMS-VAE ∗), column(RMSE, mean rank) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| description PerturBench evaluation of SAMS-VAE* on covariate transfer on Srivatsan20, RMSE mean rank, scored with RMSE mean rank. Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Table 2, row(SAMS-VAE ∗), column(RMSE, mean rank) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Relationship: benchmark perturbench-task-ct-rmse-rank Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Table 2, row(SAMS-VAE ∗), column(RMSE, mean rank) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Relationship: dataset perturbench-dataset-srivatsan20 Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Table 2, row(SAMS-VAE ∗), column(RMSE, mean rank) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Relationship: model perturbench-method-sams-vae Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Table 2, row(SAMS-VAE ∗), column(RMSE, mean rank) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| name SAMS-VAE* on PerturBench CT-RMSE-RANK: covariate transfer on Srivatsan20, RMSE mean rank Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Table 2, row(SAMS-VAE ∗), column(RMSE, mean rank) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
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Release 2026-09-29-06401fd5b220 · Record review: source checked
Stable ID: perturbench-evaluation-sams-vae-ct-rmse-rank