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Papers Benchmarks Datasets Tasks

Single-cell perturbation prediction research benchmarks · SOTA2 Research

Single-cell perturbation prediction

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Norman (Holdout Single)

0.02MAE

15

Jun 29, 2026

E-MTAB-14065 (LOO mode)

0.753Delta Pearson (DE genes)

10

May 26, 2026

hiPSC temporal CRISPR LOO All genes

0.056RMSE

10

May 26, 2026

hiPSC temporal CRISPR LOO, DE genes

94.1AUC-ROC

9

May 26, 2026

0.023MAE

7

Jun 29, 2026

Norman (Holdout Double)

0.025MAE

7

Jun 29, 2026

Replogle2022 (single-gene i.i.d.)

8.296L2 Distance

5

May 20, 2026

Papalexi Protein Gene Knockout Perturbation – scCITE-seq

0.794PCC

2

May 11, 2026

Papalexi RNA Gene Knockout Perturbation – scCITE-seq RNA

0.819PCC

2

May 11, 2026

Schiebinger Cytokine Perturbation – scRNA-seq

0.882PCC

2

May 11, 2026

Norman Gene Knockout Perturbation – scRNA-seq

0.987PCC

2

May 11, 2026

Popular datasets

Norman hiPSC temporal CRISPR Replogle Schiebinger Papalexi RNA

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