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Biolord*

Published model reimplemented or adapted by the PerturBench authors, as their asterisk marks.

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Evaluations and results

12 evaluations · 36 results. Different protocols are not a single leaderboard.

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	Protocol and dataset	Perturbench cosine logfc	Perturbench cosine logfc rank	Perturbench RMSE of mean	Perturbench RMSE rank	Perturbench energy mmd (gene expression space)	Perturbench energy mmd (PCA space: top 256 principal components fitted on the ground-truth test split)	Recall (DEG recall: fraction of the top 20 ground-truth DEGs (scanpy t-scores against controls) recalled from predicted cells)
Biolord*Evaluation	PerturBench v4 combination prediction of held-out dual perturbations on Norman19, Norman19 (PerturBench v4 combination split)	0.41 ± 2 × 10 − 2 (best in column)	0.027 ± 1 × 10 − 3 (best in column)	0.086 ± 6 × 10 − 4	0.028 ± 1 × 10 − 3 (best in column)	2.8 ± 5 × 10 − 3	1.6 ± 5 × 10 − 3	0.000 ± 0 (best in column)
Biolord*Evaluation	PerturBench CB-COSINE: combination prediction on Norman19, Cosine similarity of log fold change, Norman19 (PerturBench split)	0.41 ± 2 × 10 − 2 (best in column)	Not reported	Not reported	Not reported	Not reported	Not reported	Not reported
Biolord*Evaluation	PerturBench v4 covariate transfer of small-molecule effects across PBMC cell types on OP3, OP3 (PerturBench v4 split)	0.28 ± 3 × 10 − 3	0.051 ± 5 × 10 − 3	0.038 ± 8 × 10 − 5	0.051 ± 6 × 10 − 3	4.6 ± 2 × 10 − 2	0.92 ± 5 × 10 − 3	0.000 ± 0 (best in column)
Biolord*Evaluation	PerturBench v4 covariate transfer to a held-out cell line on Srivatsan20, Srivatsan20 (PerturBench v4 covariate-transfer split)	0.18 ± 1 × 10 − 1	0.37 ± 2 × 10 − 2	0.086 ± 4 × 10 − 2	0.35 ± 1 × 10 − 1	4.9 ± 3 × 10 0	4.3 ± 4 × 10 0	0.000 ± 1 × 10 − 4 (best in column)
Biolord*Evaluation	PerturBench CT-COSINE: covariate transfer on Srivatsan20, Cosine similarity of log fold change, Srivatsan20 (PerturBench split)	0.18 ± 1 × 10 − 1	Not reported	Not reported	Not reported	Not reported	Not reported	Not reported
Biolord*Evaluation	PerturBench v4 covariate transfer from mono-culture to co-culture on Frangieh21, Frangieh21 (PerturBench v4 co-culture split)	0.12 ± 9 × 10 − 3	0.29 ± 3 × 10 − 2	0.027 ± 2 × 10 − 4 (best in column)	0.21 ± 4 × 10 − 2	1.1 ± 2 × 10 − 2 (best in column)	0.20 ± 3 × 10 − 3 (best in column)	0.000 ± 1 × 10 − 4 (best in column)
Biolord*Evaluation	PerturBench CB-COSINE-RANK: combination prediction on Norman19, Cosine LogFC rank, Norman19 (PerturBench split)	Not reported	0.027 ± 1 × 10 − 3 (best in column)	Not reported	Not reported	Not reported	Not reported	Not reported
Biolord*Evaluation	PerturBench CB-RMSE-RANK: combination prediction on Norman19, RMSE mean rank, Norman19 (PerturBench split)	Not reported	Not reported	Not reported	0.028 ± 1 × 10 − 3 (best in column)	Not reported	Not reported	Not reported
Biolord*Evaluation	PerturBench CB-RMSE: combination prediction on Norman19, RMSE of the mean, Norman19 (PerturBench split)	Not reported	Not reported	0.086 ± 6 × 10 − 4	Not reported	Not reported	Not reported	Not reported
Biolord*Evaluation	PerturBench CT-COSINE-RANK: covariate transfer on Srivatsan20, Cosine LogFC rank, Srivatsan20 (PerturBench split)	Not reported	0.37 ± 2 × 10 − 2	Not reported	Not reported	Not reported	Not reported	Not reported
Biolord*Evaluation	PerturBench CT-RMSE-RANK: covariate transfer on Srivatsan20, RMSE mean rank, Srivatsan20 (PerturBench split)	Not reported	Not reported	Not reported	0.35 ± 1 × 10 − 1	Not reported	Not reported	Not reported
Biolord*Evaluation	PerturBench CT-RMSE: covariate transfer on Srivatsan20, RMSE of the mean, Srivatsan20 (PerturBench split)	Not reported	Not reported	0.086 ± 4 × 10 − 2	Not reported	Not reported	Not reported	Not reported

All 36 result rows with coverage, uncertainty and sources

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Tested model or methodProtocolDatasetEvaluation setupMetricEvidence origin

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Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: Biolord*	Protocol: PerturBench v4 covariate transfer from mono-culture to co-culture on Frangieh21 Dataset subset: Frangieh21 (PerturBench v4 co-culture split)	0.29 ± 3 × 10 − 2 Perturbench cosine logfc rank fraction · lower Uncertainty: SD 0.03 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source BioLord ∗ on PerturBench v4 frangieh21 lit-cells-networks-20261011-perturbench-v4-protocol-frangieh21 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 7, row 'BioLord ∗', column 'Cosine LogFC rank'
Configuration: Biolord*	Protocol: PerturBench v4 covariate transfer from mono-culture to co-culture on Frangieh21 Dataset subset: Frangieh21 (PerturBench v4 co-culture split)	0.12 ± 9 × 10 − 3 Perturbench cosine logfc fraction · higher Uncertainty: SD 0.009 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source BioLord ∗ on PerturBench v4 frangieh21 lit-cells-networks-20261011-perturbench-v4-protocol-frangieh21 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 7, row 'BioLord ∗', column 'Cosine logFC'
Configuration: Biolord*	Protocol: PerturBench v4 covariate transfer from mono-culture to co-culture on Frangieh21 Dataset subset: Frangieh21 (PerturBench v4 co-culture split)	0.000 ± 1 × 10 − 4 Recall (DEG recall: fraction of the top 20 ground-truth DEGs (scanpy t-scores against controls) recalled from predicted cells) fraction · higher Uncertainty: SD 0.0001 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source BioLord ∗ on PerturBench v4 frangieh21 lit-cells-networks-20261011-perturbench-v4-protocol-frangieh21 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 7, row 'BioLord ∗', column 'DEG recall'
Configuration: Biolord*	Protocol: PerturBench v4 covariate transfer from mono-culture to co-culture on Frangieh21 Dataset subset: Frangieh21 (PerturBench v4 co-culture split)	0.20 ± 3 × 10 − 3 Perturbench energy mmd (PCA space: top 256 principal components fitted on the ground-truth test split) unit-unreported · lower Uncertainty: SD 0.003 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source BioLord ∗ on PerturBench v4 frangieh21 lit-cells-networks-20261011-perturbench-v4-protocol-frangieh21 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 7, row 'BioLord ∗', column 'MMD PCA'
Configuration: Biolord*	Protocol: PerturBench v4 covariate transfer from mono-culture to co-culture on Frangieh21 Dataset subset: Frangieh21 (PerturBench v4 co-culture split)	1.1 ± 2 × 10 − 2 Perturbench energy mmd (gene expression space) unit-unreported · lower Uncertainty: SD 0.02 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source BioLord ∗ on PerturBench v4 frangieh21 lit-cells-networks-20261011-perturbench-v4-protocol-frangieh21 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 8, row 'BioLord ∗', column 'MMD'
Configuration: Biolord*	Protocol: PerturBench v4 covariate transfer from mono-culture to co-culture on Frangieh21 Dataset subset: Frangieh21 (PerturBench v4 co-culture split)	0.21 ± 4 × 10 − 2 Perturbench RMSE rank fraction · lower Uncertainty: SD 0.04 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source BioLord ∗ on PerturBench v4 frangieh21 lit-cells-networks-20261011-perturbench-v4-protocol-frangieh21 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 8, row 'BioLord ∗', column 'RMSE mean rank'
Configuration: Biolord*	Protocol: PerturBench v4 covariate transfer from mono-culture to co-culture on Frangieh21 Dataset subset: Frangieh21 (PerturBench v4 co-culture split)	0.027 ± 2 × 10 − 4 Perturbench RMSE of mean unit-unreported · lower Uncertainty: SD 0.0002 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source BioLord ∗ on PerturBench v4 frangieh21 lit-cells-networks-20261011-perturbench-v4-protocol-frangieh21 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 8, row 'BioLord ∗', column 'RMSE mean'
Configuration: Biolord*	Protocol: PerturBench v4 combination prediction of held-out dual perturbations on Norman19 Dataset subset: Norman19 (PerturBench v4 combination split)	0.027 ± 1 × 10 − 3 Perturbench cosine logfc rank fraction · lower Uncertainty: SD 0.001 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Biolord ∗ on PerturBench v4 norman19 lit-cells-networks-20261011-perturbench-v4-protocol-norman19 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 3, row 'Biolord ∗', column 'Cosine LogFC rank'
Configuration: Biolord*	Protocol: PerturBench v4 combination prediction of held-out dual perturbations on Norman19 Dataset subset: Norman19 (PerturBench v4 combination split)	0.41 ± 2 × 10 − 2 Perturbench cosine logfc fraction · higher Uncertainty: SD 0.02 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Biolord ∗ on PerturBench v4 norman19 lit-cells-networks-20261011-perturbench-v4-protocol-norman19 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 3, row 'Biolord ∗', column 'Cosine logFC'
Configuration: Biolord*	Protocol: PerturBench v4 combination prediction of held-out dual perturbations on Norman19 Dataset subset: Norman19 (PerturBench v4 combination 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	Independent external evaluation · Source checked Methods, coverage and source Biolord ∗ on PerturBench v4 norman19 lit-cells-networks-20261011-perturbench-v4-protocol-norman19 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 3, row 'Biolord ∗', column 'DEG recall'
Configuration: Biolord*	Protocol: PerturBench v4 combination prediction of held-out dual perturbations on Norman19 Dataset subset: Norman19 (PerturBench v4 combination split)	1.6 ± 5 × 10 − 3 Perturbench energy mmd (PCA space: top 256 principal components fitted on the ground-truth test split) unit-unreported · lower Uncertainty: SD 0.005 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Biolord ∗ on PerturBench v4 norman19 lit-cells-networks-20261011-perturbench-v4-protocol-norman19 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 3, row 'Biolord ∗', column 'MMD PCA'
Configuration: Biolord*	Protocol: PerturBench v4 combination prediction of held-out dual perturbations on Norman19 Dataset subset: Norman19 (PerturBench v4 combination split)	2.8 ± 5 × 10 − 3 Perturbench energy mmd (gene expression space) unit-unreported · lower Uncertainty: SD 0.005 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Biolord ∗ on PerturBench v4 norman19 lit-cells-networks-20261011-perturbench-v4-protocol-norman19 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 6, row 'Biolord ∗', column 'MMD'
Configuration: Biolord*	Protocol: PerturBench v4 combination prediction of held-out dual perturbations on Norman19 Dataset subset: Norman19 (PerturBench v4 combination split)	0.028 ± 1 × 10 − 3 Perturbench RMSE rank fraction · lower Uncertainty: SD 0.001 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Biolord ∗ on PerturBench v4 norman19 lit-cells-networks-20261011-perturbench-v4-protocol-norman19 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 6, row 'Biolord ∗', column 'RMSE mean rank'
Configuration: Biolord*	Protocol: PerturBench v4 combination prediction of held-out dual perturbations on Norman19 Dataset subset: Norman19 (PerturBench v4 combination split)	0.086 ± 6 × 10 − 4 Perturbench RMSE of mean unit-unreported · lower Uncertainty: SD 0.0006 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Biolord ∗ on PerturBench v4 norman19 lit-cells-networks-20261011-perturbench-v4-protocol-norman19 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 6, row 'Biolord ∗', column 'RMSE mean'
Configuration: Biolord*	Protocol: PerturBench v4 covariate transfer of small-molecule effects across PBMC cell types on OP3 Dataset subset: OP3 (PerturBench v4 split)	0.051 ± 5 × 10 − 3 Perturbench cosine logfc rank fraction · lower Uncertainty: SD 0.005 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Biolord ∗ on PerturBench v4 op3 lit-cells-networks-20261011-perturbench-v4-protocol-op3 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 9, row 'Biolord ∗', column 'Cosine LogFC rank'
Configuration: Biolord*	Protocol: PerturBench v4 covariate transfer of small-molecule effects across PBMC cell types on OP3 Dataset subset: OP3 (PerturBench v4 split)	0.28 ± 3 × 10 − 3 Perturbench cosine logfc fraction · higher Uncertainty: SD 0.003 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Biolord ∗ on PerturBench v4 op3 lit-cells-networks-20261011-perturbench-v4-protocol-op3 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 9, row 'Biolord ∗', column 'Cosine LogFC'
Configuration: Biolord*	Protocol: PerturBench v4 covariate transfer of small-molecule effects across PBMC cell types on OP3 Dataset subset: OP3 (PerturBench v4 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	Independent external evaluation · Source checked Methods, coverage and source Biolord ∗ on PerturBench v4 op3 lit-cells-networks-20261011-perturbench-v4-protocol-op3 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 9, row 'Biolord ∗', column 'DEG recall'
Configuration: Biolord*	Protocol: PerturBench v4 covariate transfer of small-molecule effects across PBMC cell types on OP3 Dataset subset: OP3 (PerturBench v4 split)	0.92 ± 5 × 10 − 3 Perturbench energy mmd (PCA space: top 256 principal components fitted on the ground-truth test split) unit-unreported · lower Uncertainty: SD 0.005 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Biolord ∗ on PerturBench v4 op3 lit-cells-networks-20261011-perturbench-v4-protocol-op3 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 9, row 'Biolord ∗', column 'MMD PCA'
Configuration: Biolord*	Protocol: PerturBench v4 covariate transfer of small-molecule effects across PBMC cell types on OP3 Dataset subset: OP3 (PerturBench v4 split)	4.6 ± 2 × 10 − 2 Perturbench energy mmd (gene expression space) unit-unreported · lower Uncertainty: SD 0.02 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Biolord ∗ on PerturBench v4 op3 lit-cells-networks-20261011-perturbench-v4-protocol-op3 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 10, row 'Biolord ∗', column 'MMD'
Configuration: Biolord*	Protocol: PerturBench v4 covariate transfer of small-molecule effects across PBMC cell types on OP3 Dataset subset: OP3 (PerturBench v4 split)	0.051 ± 6 × 10 − 3 Perturbench RMSE rank fraction · lower Uncertainty: SD 0.006 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Biolord ∗ on PerturBench v4 op3 lit-cells-networks-20261011-perturbench-v4-protocol-op3 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 10, row 'Biolord ∗', column 'RMSE mean rank'
Configuration: Biolord*	Protocol: PerturBench v4 covariate transfer of small-molecule effects across PBMC cell types on OP3 Dataset subset: OP3 (PerturBench v4 split)	0.038 ± 8 × 10 − 5 Perturbench RMSE of mean unit-unreported · lower Uncertainty: SD 0.00008 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Biolord ∗ on PerturBench v4 op3 lit-cells-networks-20261011-perturbench-v4-protocol-op3 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 10, row 'Biolord ∗', column 'RMSE mean'
Configuration: Biolord*	Protocol: PerturBench v4 covariate transfer to a held-out cell line on Srivatsan20 Dataset subset: Srivatsan20 (PerturBench v4 covariate-transfer split)	0.37 ± 2 × 10 − 2 Perturbench cosine logfc rank fraction · lower Uncertainty: SD 0.02 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Biolord ∗ 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 'Biolord ∗', column 'Cosine LogFC rank'
Configuration: Biolord*	Protocol: PerturBench v4 covariate transfer to a held-out cell line on Srivatsan20 Dataset subset: Srivatsan20 (PerturBench v4 covariate-transfer split)	0.18 ± 1 × 10 − 1 Perturbench cosine logfc fraction · higher Uncertainty: SD 0.1 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Biolord ∗ 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 'Biolord ∗', column 'Cosine LogFC'
Configuration: Biolord*	Protocol: PerturBench v4 covariate transfer to a held-out cell line on Srivatsan20 Dataset subset: Srivatsan20 (PerturBench v4 covariate-transfer split)	0.000 ± 1 × 10 − 4 Recall (DEG recall: fraction of the top 20 ground-truth DEGs (scanpy t-scores against controls) recalled from predicted cells) fraction · higher Uncertainty: SD 0.0001 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Biolord ∗ 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 'Biolord ∗', column 'DEG recall'
Configuration: Biolord*	Protocol: PerturBench v4 covariate transfer to a held-out cell line on Srivatsan20 Dataset subset: Srivatsan20 (PerturBench v4 covariate-transfer split)	4.3 ± 4 × 10 0 Perturbench energy mmd (PCA space: top 256 principal components fitted on the ground-truth test split) unit-unreported · lower Uncertainty: SD 4 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Biolord ∗ 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 'Biolord ∗', column 'MMD PCA'

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source locator: Table 2, row(Biolord ∗)
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