Srivatsan20 (PerturBench split)
The split of Srivatsan20 that PerturBench evaluated on. The upstream dataset release is not catalogued here, so no claim is made that this matches its original splits.
Subset and evaluation context
This record describes a particular subset or cohort used in an evaluation. Its results do not describe the full dataset.
Evaluation results
Release 2026-09-17-134cd1815de8 · 40 evaluations · 40 metric rows. Different protocols are not a single leaderboard. Where several source tables report the same metric, the published comparisons above offer a pooled view that names what it does not hold constant.
| Metric and finding | Coverage and uncertainty | Evidence |
|---|---|---|
| Biolord* on PerturBench CT-COSINE: covariate transfer on Srivatsan20, Cosine similarity of log fold change Configuration: Biolord*Task: PerturBench CT-COSINE: covariate transfer on Srivatsan20, Cosine similarity of log fold changeDataset subset: Srivatsan20 (PerturBench split) 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. Author-reported evaluation · Evaluation metadata: source checked | ||
| 0.18 ± 1 × 10 − 1 cosine_logfc Unit: fraction · Direction: higher | Uncertainty: type: standard deviation; value: 0.1 Scored: Not reported · Eligible: Not reported | source checkedPerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis · Table 2, row(Biolord ∗), column(Cosine, log fold change (LogFC)) Source checking is not independent reproduction. |
| Biolord* on PerturBench CT-COSINE-RANK: covariate transfer on Srivatsan20, Cosine LogFC rank Configuration: Biolord*Task: PerturBench CT-COSINE-RANK: covariate transfer on Srivatsan20, Cosine LogFC rankDataset subset: Srivatsan20 (PerturBench split) 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. Author-reported evaluation · Evaluation metadata: source checked | ||
| 0.37 ± 2 × 10 − 2 cosine_logfc_rank Unit: fraction · Direction: lower | Uncertainty: type: standard deviation; value: 0.02 Scored: Not reported · Eligible: Not reported | source checkedPerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis · Table 2, row(Biolord ∗), column(Cosine, LogFC rank) Source checking is not independent reproduction. |
| Biolord* on PerturBench CT-RMSE-RANK: covariate transfer on Srivatsan20, RMSE mean rank Configuration: Biolord*Task: PerturBench CT-RMSE-RANK: covariate transfer on Srivatsan20, RMSE mean rankDataset subset: Srivatsan20 (PerturBench split) 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. Author-reported evaluation · Evaluation metadata: source checked | ||
| 0.35 ± 1 × 10 − 1 rmse_mean_rank Unit: fraction · Direction: lower | Uncertainty: type: standard deviation; value: 0.1 Scored: Not reported · Eligible: Not reported | source checkedPerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis · Table 2, row(Biolord ∗), column(RMSE, mean rank) Source checking is not independent reproduction. |
| Biolord* on PerturBench CT-RMSE: covariate transfer on Srivatsan20, RMSE of the mean Configuration: Biolord*Task: PerturBench CT-RMSE: covariate transfer on Srivatsan20, RMSE of the meanDataset subset: Srivatsan20 (PerturBench split) 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. Author-reported evaluation · Evaluation metadata: source checked | ||
| 0.086 ± 4 × 10 − 2 rmse_mean Unit: error · Direction: lower | Uncertainty: type: standard deviation; value: 0.04 Scored: Not reported · Eligible: Not reported | source checkedPerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis · Table 2, row(Biolord ∗), column(RMSE, mean) Source checking is not independent reproduction. |
| CPA* on PerturBench CT-COSINE: covariate transfer on Srivatsan20, Cosine similarity of log fold change Configuration: CPA*Task: PerturBench CT-COSINE: covariate transfer on Srivatsan20, Cosine similarity of log fold changeDataset subset: Srivatsan20 (PerturBench split) 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. Author-reported evaluation · Evaluation metadata: source checked | ||
| 0.31 ± 1 × 10 − 2 cosine_logfc Unit: fraction · Direction: higher | Uncertainty: type: standard deviation; value: 0.01 Scored: Not reported · Eligible: Not reported | source checkedPerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis · Table 2, row(CPA ∗), column(Cosine, log fold change (LogFC)) Source checking is not independent reproduction. |
| CPA* on PerturBench CT-COSINE-RANK: covariate transfer on Srivatsan20, Cosine LogFC rank Configuration: CPA*Task: PerturBench CT-COSINE-RANK: covariate transfer on Srivatsan20, Cosine LogFC rankDataset subset: Srivatsan20 (PerturBench split) 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. Author-reported evaluation · Evaluation metadata: source checked | ||
| 0.35 ± 6 × 10 − 3 cosine_logfc_rank Unit: fraction · Direction: lower | Uncertainty: type: standard deviation; value: 0.006 Scored: Not reported · Eligible: Not reported | source checkedPerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis · Table 2, row(CPA ∗), column(Cosine, LogFC rank) Source checking is not independent reproduction. |
| CPA* on PerturBench CT-RMSE-RANK: covariate transfer on Srivatsan20, RMSE mean rank Configuration: CPA*Task: PerturBench CT-RMSE-RANK: covariate transfer on Srivatsan20, RMSE mean rankDataset subset: Srivatsan20 (PerturBench split) 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. Author-reported evaluation · Evaluation metadata: source checked | ||
| 0.32 ± 7 × 10 − 3 rmse_mean_rank Unit: fraction · Direction: lower | Uncertainty: type: standard deviation; value: 0.007 Scored: Not reported · Eligible: Not reported | source checkedPerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis · Table 2, row(CPA ∗), column(RMSE, mean rank) Source checking is not independent reproduction. |
| CPA* on PerturBench CT-RMSE: covariate transfer on Srivatsan20, RMSE of the mean Configuration: CPA*Task: PerturBench CT-RMSE: covariate transfer on Srivatsan20, RMSE of the meanDataset subset: Srivatsan20 (PerturBench split) 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. Author-reported evaluation · Evaluation metadata: source checked | ||
| 0.021 ± 4 × 10 − 4 rmse_mean Unit: error · Direction: lower | Uncertainty: type: standard deviation; value: 0.0004 Scored: Not reported · Eligible: Not reported | source checkedPerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis · Table 2, row(CPA ∗), column(RMSE, mean) Source checking is not independent reproduction. |
| CPA* (noAdv) on PerturBench CT-COSINE: covariate transfer on Srivatsan20, Cosine similarity of log fold change Configuration: CPA* (noAdv)Task: PerturBench CT-COSINE: covariate transfer on Srivatsan20, Cosine similarity of log fold changeDataset subset: Srivatsan20 (PerturBench split) 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. Author-reported evaluation · Evaluation metadata: source checked | ||
| 0.37 ± 4 × 10 − 2 cosine_logfc Unit: fraction · Direction: higher | Uncertainty: type: standard deviation; value: 0.04 Scored: Not reported · Eligible: Not reported | source checkedPerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis · Table 2, row(CPA ∗ (noAdv)), column(Cosine, log fold change (LogFC)) Source checking is not independent reproduction. |
| CPA* (noAdv) on PerturBench CT-COSINE-RANK: covariate transfer on Srivatsan20, Cosine LogFC rank Configuration: CPA* (noAdv)Task: PerturBench CT-COSINE-RANK: covariate transfer on Srivatsan20, Cosine LogFC rankDataset subset: Srivatsan20 (PerturBench split) 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. Author-reported evaluation · Evaluation metadata: source checked | ||
| 0.33 ± 3 × 10 − 2 cosine_logfc_rank Unit: fraction · Direction: lower | Uncertainty: type: standard deviation; value: 0.03 Scored: Not reported · Eligible: Not reported | source checkedPerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis · Table 2, row(CPA ∗ (noAdv)), column(Cosine, LogFC rank) Source checking is not independent reproduction. |
| CPA* (noAdv) on PerturBench CT-RMSE-RANK: covariate transfer on Srivatsan20, RMSE mean rank Configuration: CPA* (noAdv)Task: PerturBench CT-RMSE-RANK: covariate transfer on Srivatsan20, RMSE mean rankDataset subset: Srivatsan20 (PerturBench split) 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. Author-reported evaluation · Evaluation metadata: source checked | ||
| 0.29 ± 7 × 10 − 3 rmse_mean_rank Unit: fraction · Direction: lower | Uncertainty: type: standard deviation; value: 0.007 Scored: Not reported · Eligible: Not reported | source checkedPerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis · Table 2, row(CPA ∗ (noAdv)), column(RMSE, mean rank) Source checking is not independent reproduction. |
| CPA* (noAdv) on PerturBench CT-RMSE: covariate transfer on Srivatsan20, RMSE of the mean Configuration: CPA* (noAdv)Task: PerturBench CT-RMSE: covariate transfer on Srivatsan20, RMSE of the meanDataset subset: Srivatsan20 (PerturBench split) 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. Author-reported evaluation · Evaluation metadata: source checked | ||
| 0.020 ± 8 × 10 − 4 rmse_mean Unit: error · Direction: lower | Uncertainty: type: standard deviation; value: 0.0008 Scored: Not reported · Eligible: Not reported | source checkedPerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis · Table 2, row(CPA ∗ (noAdv)), column(RMSE, mean) Source checking is not independent reproduction. |
| CPA* (scGPT) on PerturBench CT-COSINE: covariate transfer on Srivatsan20, Cosine similarity of log fold change Configuration: CPA* (scGPT)Task: PerturBench CT-COSINE: covariate transfer on Srivatsan20, Cosine similarity of log fold changeDataset subset: Srivatsan20 (PerturBench split) 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. Author-reported evaluation · Evaluation metadata: source checked | ||
| 0.29 ± 9 × 10 − 4 cosine_logfc Unit: fraction · Direction: higher | Uncertainty: type: standard deviation; value: 0.0009 Scored: Not reported · Eligible: Not reported | source checkedPerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis · Table 2, row(CPA ∗ (scGPT)), column(Cosine, log fold change (LogFC)) Source checking is not independent reproduction. |
| CPA* (scGPT) on PerturBench CT-COSINE-RANK: covariate transfer on Srivatsan20, Cosine LogFC rank Configuration: CPA* (scGPT)Task: PerturBench CT-COSINE-RANK: covariate transfer on Srivatsan20, Cosine LogFC rankDataset subset: Srivatsan20 (PerturBench split) 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. Author-reported evaluation · Evaluation metadata: source checked | ||
| 0.38 ± 2 × 10 − 2 cosine_logfc_rank Unit: fraction · Direction: lower | Uncertainty: type: standard deviation; value: 0.02 Scored: Not reported · Eligible: Not reported | source checkedPerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis · Table 2, row(CPA ∗ (scGPT)), column(Cosine, LogFC rank) Source checking is not independent reproduction. |
| CPA* (scGPT) on PerturBench CT-RMSE-RANK: covariate transfer on Srivatsan20, RMSE mean rank Configuration: CPA* (scGPT)Task: PerturBench CT-RMSE-RANK: covariate transfer on Srivatsan20, RMSE mean rankDataset subset: Srivatsan20 (PerturBench split) 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. Author-reported evaluation · Evaluation metadata: source checked | ||
| 0.32 ± 1 × 10 − 2 rmse_mean_rank Unit: fraction · Direction: lower | Uncertainty: type: standard deviation; value: 0.01 Scored: Not reported · Eligible: Not reported | source checkedPerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis · Table 2, row(CPA ∗ (scGPT)), column(RMSE, mean rank) Source checking is not independent reproduction. |
| CPA* (scGPT) on PerturBench CT-RMSE: covariate transfer on Srivatsan20, RMSE of the mean Configuration: CPA* (scGPT)Task: PerturBench CT-RMSE: covariate transfer on Srivatsan20, RMSE of the meanDataset subset: Srivatsan20 (PerturBench split) 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. Author-reported evaluation · Evaluation metadata: source checked | ||
| 0.021 ± 3 × 10 − 4 rmse_mean Unit: error · Direction: lower | Uncertainty: type: standard deviation; value: 0.0003 Scored: Not reported · Eligible: Not reported | source checkedPerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis · Table 2, row(CPA ∗ (scGPT)), column(RMSE, mean) Source checking is not independent reproduction. |
| Decoder (Cov) on PerturBench CT-COSINE: covariate transfer on Srivatsan20, Cosine similarity of log fold change Configuration: Decoder (Cov)Task: PerturBench CT-COSINE: covariate transfer on Srivatsan20, Cosine similarity of log fold changeDataset subset: Srivatsan20 (PerturBench split) 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. Author-reported evaluation · Evaluation metadata: source checked | ||
| 0.30 ± 1 × 10 − 2 cosine_logfc Unit: fraction · Direction: higher | Uncertainty: type: standard deviation; value: 0.01 Scored: Not reported · Eligible: Not reported | source checkedPerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis · Table 2, row(Decoder (Cov)), column(Cosine, log fold change (LogFC)) Source checking is not independent reproduction. |
| Decoder (Cov) on PerturBench CT-COSINE-RANK: covariate transfer on Srivatsan20, Cosine LogFC rank Configuration: Decoder (Cov)Task: PerturBench CT-COSINE-RANK: covariate transfer on Srivatsan20, Cosine LogFC rankDataset subset: Srivatsan20 (PerturBench split) 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. Author-reported evaluation · Evaluation metadata: source checked | ||
| 0.47 ± 9 × 10 − 3 cosine_logfc_rank Unit: fraction · Direction: lower | Uncertainty: type: standard deviation; value: 0.009 Scored: Not reported · Eligible: Not reported | source checkedPerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis · Table 2, row(Decoder (Cov)), column(Cosine, LogFC rank) Source checking is not independent reproduction. |
| Decoder (Cov) on PerturBench CT-RMSE-RANK: covariate transfer on Srivatsan20, RMSE mean rank Configuration: Decoder (Cov)Task: PerturBench CT-RMSE-RANK: covariate transfer on Srivatsan20, RMSE mean rankDataset subset: Srivatsan20 (PerturBench split) 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. Author-reported evaluation · Evaluation metadata: source checked | ||
| 0.50 ± 4 × 10 − 2 rmse_mean_rank Unit: fraction · Direction: lower | Uncertainty: type: standard deviation; value: 0.04 Scored: Not reported · Eligible: Not reported | source checkedPerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis · Table 2, row(Decoder (Cov)), column(RMSE, mean rank) Source checking is not independent reproduction. |
| Decoder (Cov) on PerturBench CT-RMSE: covariate transfer on Srivatsan20, RMSE of the mean Configuration: Decoder (Cov)Task: PerturBench CT-RMSE: covariate transfer on Srivatsan20, RMSE of the meanDataset subset: Srivatsan20 (PerturBench split) 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. Author-reported evaluation · Evaluation metadata: source checked | ||
| 0.023 ± 3 × 10 − 5 rmse_mean Unit: error · Direction: lower | Uncertainty: type: standard deviation; value: 0.00003 Scored: Not reported · Eligible: Not reported | source checkedPerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis · Table 2, row(Decoder (Cov)), column(RMSE, mean) Source checking is not independent reproduction. |
| Decoder on PerturBench CT-COSINE: covariate transfer on Srivatsan20, Cosine similarity of log fold change Configuration: DecoderTask: PerturBench CT-COSINE: covariate transfer on Srivatsan20, Cosine similarity of log fold changeDataset subset: Srivatsan20 (PerturBench split) 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. Author-reported evaluation · Evaluation metadata: source checked | ||
| 0.35 ± 5 × 10 − 3 cosine_logfc Unit: fraction · Direction: higher | Uncertainty: type: standard deviation; value: 0.005 Scored: Not reported · Eligible: Not reported | source checkedPerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis · Table 2, row(Decoder), column(Cosine, log fold change (LogFC)) Source checking is not independent reproduction. |
| Decoder on PerturBench CT-COSINE-RANK: covariate transfer on Srivatsan20, Cosine LogFC rank Configuration: DecoderTask: PerturBench CT-COSINE-RANK: covariate transfer on Srivatsan20, Cosine LogFC rankDataset subset: Srivatsan20 (PerturBench split) 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. Author-reported evaluation · Evaluation metadata: source checked | ||
| 0.16 ± 1 × 10 − 2 cosine_logfc_rank Unit: fraction · Direction: lower | Uncertainty: type: standard deviation; value: 0.01 Scored: Not reported · Eligible: Not reported | source checkedPerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis · Table 2, row(Decoder), column(Cosine, LogFC rank) Source checking is not independent reproduction. |
| Decoder on PerturBench CT-RMSE-RANK: covariate transfer on Srivatsan20, RMSE mean rank Configuration: DecoderTask: PerturBench CT-RMSE-RANK: covariate transfer on Srivatsan20, RMSE mean rankDataset subset: Srivatsan20 (PerturBench split) 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. Author-reported evaluation · Evaluation metadata: source checked | ||
| 0.14 ± 7 × 10 − 3 rmse_mean_rank Unit: fraction · Direction: lower | Uncertainty: type: standard deviation; value: 0.007 Scored: Not reported · Eligible: Not reported | source checkedPerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis · Table 2, row(Decoder), column(RMSE, mean rank) Source checking is not independent reproduction. |
| Decoder on PerturBench CT-RMSE: covariate transfer on Srivatsan20, RMSE of the mean Configuration: DecoderTask: PerturBench CT-RMSE: covariate transfer on Srivatsan20, RMSE of the meanDataset subset: Srivatsan20 (PerturBench split) 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. Author-reported evaluation · Evaluation metadata: source checked | ||
| 0.018 ± 1 × 10 − 4 rmse_mean Unit: error · Direction: lower | Uncertainty: type: standard deviation; value: 0.0001 Scored: Not reported · Eligible: Not reported | source checkedPerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis · Table 2, row(Decoder), column(RMSE, mean) Source checking is not independent reproduction. |
| LA on PerturBench CT-COSINE: covariate transfer on Srivatsan20, Cosine similarity of log fold change Configuration: LATask: PerturBench CT-COSINE: covariate transfer on Srivatsan20, Cosine similarity of log fold changeDataset subset: Srivatsan20 (PerturBench split) 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. Author-reported evaluation · Evaluation metadata: source checked | ||
| 0.45 ± 2 × 10 − 3 cosine_logfc Unit: fraction · Direction: higher | Uncertainty: type: standard deviation; value: 0.002 Scored: Not reported · Eligible: Not reported | source checkedPerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis · Table 2, row(LA), column(Cosine, log fold change (LogFC)) Source checking is not independent reproduction. |
Evidence table
Inspect claims, sources and review details
Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.
One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.
2 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| description The split of Srivatsan20 that PerturBench evaluated on. The upstream dataset release is not catalogued here, so no claim is made that this matches its original splits. Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis No field-specific location recorded Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| name Srivatsan20 (PerturBench split) Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis No field-specific location recorded Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
Sources and history
Release 2026-09-17-134cd1815de8 · Record review: source checked
1 source records and release history
- PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis · Original source · Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256
Technical metadata and extraction receipts
Stable ID: perturbench-dataset-srivatsan20
- areas
- cells-tissues
- missing metadata
- version: unreported; url: unextracted
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