Relevance of Norman19 dual perturbations (K562 CRISPRa) to "Assess models for genetic perturbation experiments"
- Use case
- Assess models for genetic perturbation experiments
- Assessed by
- PerturBench v4 combination prediction of held-out dual perturbations on Norman19
- Relevance
- Proxy evidence
- Endpoint
- Cosine similarity and rank of predicted log fold change, RMSE and RMSE rank of the mean expression profile, MMD and DEG recall for held-out K562 CRISPRa dual-gene perturbations (Norman19), for CPA, SAMS-VAE, Biolord, GEARS, Latent Additive (with and without scGPT embeddings), Decoder and Linear models
The protocol compares perturbation-response models and simple baselines on the same held-out dual perturbations, which is the methods-and-controls comparison the use case asks for. It is proxy evidence because the endpoint is expression agreement, not experimental prioritisation.
11 reviewed evaluations
- Biolord ∗ on PerturBench v4 norman19
- CPA ∗ on PerturBench v4 norman19
- CPA ∗ (noAdv) on PerturBench v4 norman19
- CPA ∗ (scGPT) on PerturBench v4 norman19
- Decoder on PerturBench v4 norman19
- GEARS on PerturBench v4 norman19
- LA on PerturBench v4 norman19
- LA (scGPT) on PerturBench v4 norman19
- Linear on PerturBench v4 norman19
- SAMS-VAE ∗ on PerturBench v4 norman19
- SAMS-VAE ∗ (S) on PerturBench v4 norman19
Evidence
Source checking verifies the cited claim or transcription. It does not establish 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.
19 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
Citation locations1 values
| PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) lit-cells-networks-20261011-perturbench-v4-source-wu2025: Tables 3 and 6; Section 4.2; Appendix D.4-D.5 Version: arXiv 2408.10609v4, posted 2025-10-24 (NeurIPS 2025 Datasets and Benchmarks Track version) | not individually reviewed No individual claim review recorded 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 group perturbench-v4 Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) lit-cells-networks-20261011-perturbench-v4-source-wu2025: Tables 3 and 6; Section 4.2; Appendix D.4-D.5 Version: arXiv 2408.10609v4, posted 2025-10-24 (NeurIPS 2025 Datasets and Benchmarks Track version) | not individually reviewed No individual claim review recorded 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 title PerturBench v4 (Wu et al., NeurIPS 2025 Datasets and Benchmarks) Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) lit-cells-networks-20261011-perturbench-v4-source-wu2025: Tables 3 and 6; Section 4.2; Appendix D.4-D.5 Version: arXiv 2408.10609v4, posted 2025-10-24 (NeurIPS 2025 Datasets and Benchmarks Track version) | not individually reviewed No individual claim review recorded 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. |
Constraints3 values
| PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) lit-cells-networks-20261011-perturbench-v4-source-wu2025: Tables 3 and 6; Section 4.2; Appendix D.4-D.5 Version: arXiv 2408.10609v4, posted 2025-10-24 (NeurIPS 2025 Datasets and Benchmarks Track version) | not individually reviewed No individual claim review recorded 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. |
| Endpoint Cosine similarity and rank of predicted log fold change, RMSE and RMSE rank of the mean expression profile, MMD and DEG recall for held-out K562 CRISPRa dual-gene perturbations (Norman19), for CPA, SAMS-VAE, Biolord, GEARS, Latent Additive (with and without scGPT embeddings), Decoder and Linear models Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) lit-cells-networks-20261011-perturbench-v4-source-wu2025: Tables 3 and 6; Section 4.2; Appendix D.4-D.5 Version: arXiv 2408.10609v4, posted 2025-10-24 (NeurIPS 2025 Datasets and Benchmarks Track version) | not individually reviewed No individual claim review recorded 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. |
| Claimed field links:assessed_by:lit-cells-networks-20261011-perturbench-v4-protocol-norman19 Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) lit-cells-networks-20261011-perturbench-v4-source-wu2025: Tables 3 and 6; Section 4.2; Appendix D.4-D.5 Version: arXiv 2408.10609v4, posted 2025-10-24 (NeurIPS 2025 Datasets and Benchmarks Track version) | not individually reviewed No individual claim review recorded 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. |
| Headline metric perturbench-cosine-logfc Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) lit-cells-networks-20261011-perturbench-v4-source-wu2025: Tables 3 and 6; Section 4.2; Appendix D.4-D.5 Version: arXiv 2408.10609v4, posted 2025-10-24 (NeurIPS 2025 Datasets and Benchmarks Track version) | not individually reviewed No individual claim review recorded 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. |
Limitations5 values
| PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) lit-cells-networks-20261011-perturbench-v4-source-wu2025: Tables 3 and 6; Section 4.2; Appendix D.4-D.5 Version: arXiv 2408.10609v4, posted 2025-10-24 (NeurIPS 2025 Datasets and Benchmarks Track version) | not individually reviewed No individual claim review recorded 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. |
Pinned records81 values
| PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) lit-cells-networks-20261011-perturbench-v4-source-wu2025: Tables 3 and 6; Section 4.2; Appendix D.4-D.5 Version: arXiv 2408.10609v4, posted 2025-10-24 (NeurIPS 2025 Datasets and Benchmarks Track version) | not individually reviewed No individual claim review recorded 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. |
| Rationale The protocol compares perturbation-response models and simple baselines on the same held-out dual perturbations, which is the methods-and-controls comparison the use case asks for. It is proxy evidence because the endpoint is expression agreement, not experimental prioritisation. Context-only references | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) lit-cells-networks-20261011-perturbench-v4-source-wu2025: Tables 3 and 6; Section 4.2; Appendix D.4-D.5 Version: arXiv 2408.10609v4, posted 2025-10-24 (NeurIPS 2025 Datasets and Benchmarks Track version) | not individually reviewed No individual claim review recorded 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. |
Sources and history
Release 2026-10-23-5347695500ed · Record review: source checked
1 source record and release history
- PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Original source · arXiv 2408.10609v4, posted 2025-10-24 (NeurIPS 2025 Datasets and Benchmarks Track version)
Technical metadata and extraction receipts
Stable ID: use-case-mapping-lit-cells-networks-20261011-perturbench-v4-norman19
- field
- links:assessed_by:lit-cells-networks-20261011-perturbench-v4-protocol-norman19
- value
- lit-cells-networks-20261011-perturbench-v4-protocol-norman19
- relevance
- proxy
- endpoint
- Cosine similarity and rank of predicted log fold change, RMSE and RMSE rank of the mean expression profile, MMD and DEG recall for held-out K562 CRISPRa dual-gene perturbations (Norman19), for CPA, SAMS-VAE, Biolord, GEARS, Latent Additive (with and without scGPT embeddings), Decoder and Linear models
- rationale
- The protocol compares perturbation-response models and simple baselines on the same held-out dual perturbations, which is the methods-and-controls comparison the use case asks for. It is proxy evidence because the endpoint is expression agreement, not experimental prioritisation.
- constraints
- Inspect every linked evaluation's source locator before citing a result.; Compare models only within one table column; MMD, MMD PCA and DEG recall are not printed ('-') for the CPA* (scGPT), LA (scGPT) and GEARS rows, and DEG recall is not printed for the Decoder row.; Do not combine these values with PerturBench v1 results (evidence-expansion-perturbench-5c480456): v4 reran the models and the numbers differ.
- limitations
- The PerturBench authors trained and tuned every model themselves and developed the Linear, Latent Additive and Decoder baselines; CPA, SAMS-VAE, Biolord and GEARS are their reimplementations or wrappers.; Preprint (arXiv v4 of the NeurIPS 2025 Datasets and Benchmarks paper); the proceedings version was not compared.; Spread is one standard deviation over 5 training seeds of one HPO-selected configuration, not over data splits.; Expression-prediction scores do not establish causal mechanism or experimental hit rates (use-case exclusion).; GEARS rows have no MMD or DEG recall (printed '-').
- citation locators
- source id: lit-cells-networks-20261011-perturbench-v4-source-wu2025; locator: Tables 3 and 6; Section 4.2; Appendix D.4-D.5
- source locator
- lit-cells-networks-20261011-perturbench-v4-source-wu2025: Tables 3 and 6; Section 4.2; Appendix D.4-D.5
- headline metric
- perturbench-cosine-logfc
- comparison group
- perturbench-v4
- comparison title
- PerturBench v4 (Wu et al., NeurIPS 2025 Datasets and Benchmarks)
- stratum label
- Norman19 dual perturbations (K562 CRISPRa)
- stratum order
- 1
- reviewed evaluations
- lit-cells-networks-20261011-perturbench-v4-eval-norman19-biolord; lit-cells-networks-20261011-perturbench-v4-eval-norman19-cpa; lit-cells-networks-20261011-perturbench-v4-eval-norman19-cpa-noadv; lit-cells-networks-20261011-perturbench-v4-eval-norman19-cpa-scgpt; lit-cells-networks-20261011-perturbench-v4-eval-norman19-decoder; lit-cells-networks-20261011-perturbench-v4-eval-norman19-gears-perturbench-norman19-run; lit-cells-networks-20261011-perturbench-v4-eval-norman19-la; lit-cells-networks-20261011-perturbench-v4-eval-norman19-la-scgpt; lit-cells-networks-20261011-perturbench-v4-eval-norman19-linear; lit-cells-networks-20261011-perturbench-v4-eval-norman19-sams-vae; lit-cells-networks-20261011-perturbench-v4-eval-norman19-sams-vae-s
- reason
- Add a relevance judgement for a protocol from the 2026-10-11 cells-spatial and networks-mechanistic literature pass, reviewed in docs/reviews/2026-10-12-cells-networks-batches.md.
- review
- method: ai-assisted-source-review; scope-review; method note: Reviewer checked the endpoint against the use case's inputs, output and exclusions, the relevance rating and the limitations; every evaluation on the protocol had its values checked in the batch review. Corrections listed in review.md were applied by the extractor.; reviewer: claude; reviewer note: Claude review agent reviewer-cn-2, independent of the extractor lit-cells-networks; no human review claimed; reviewed at: 2026-10-12T08:44:00Z; note: Automated review; not human scientific review.
- pins
- record id: lit-cells-networks-20261011-perturbench-v4-eval-norman19-biolord; fields: status; links; attributes.origin; attributes.comparison; sha256: 2c9f63078ae6f75ce7d8578583334acb18721527c5ea83de43963713330f3fe9; record id: lit-cells-networks-20261011-perturbench-v4-eval-norman19-cpa; fields: status; links; attributes.origin; attributes.comparison; sha256: 47556b6baa6c23fc6c9e003c7adee0154bab84194c56ab5d4984194014a1baa5; record id: lit-cells-networks-20261011-perturbench-v4-eval-norman19-cpa-noadv; fields: status; links; attributes.origin; attributes.comparison; sha256: 5efd1efb6a1d01e7f340064577acb885d6b0a4ad129af00d34cc514b0e24e8a9; record id: lit-cells-networks-20261011-perturbench-v4-eval-norman19-cpa-scgpt; fields: status; links; attributes.origin; attributes.comparison; sha256: 9fc6564ef599cfc87fac97a5b599b86e9d3a2ca37c63886b4b5cfbdcbc4d9efc; record id: lit-cells-networks-20261011-perturbench-v4-eval-norman19-decoder; fields: status; links; attributes.origin; attributes.comparison; sha256: 4117a8a279ac02bb7ebc0e5668996f528c6ee7c8d7bc5f0806d8794ed9d3b30f; record id: lit-cells-networks-20261011-perturbench-v4-eval-norman19-gears-perturbench-norman19-run; fields: status; links; attributes.origin; attributes.comparison; sha256: 459009fbae04aaa4ba62907c76b13c10e63ef094bf9204580ee15d4f8a195c82; record id: lit-cells-networks-20261011-perturbench-v4-eval-norman19-la; fields: status; links; attributes.origin; attributes.comparison; sha256: 6344f5fdbece0e1861973ae715b202d595dffafe8c1291a2eb590eab7e6e0298; record id: lit-cells-networks-20261011-perturbench-v4-eval-norman19-la-scgpt; fields: status; links; attributes.origin; attributes.comparison; sha256: 2d76e7d839aaaa95533857f22dc3c9397ec70c81e197e9a8f98ca06f73bed54d; record id: lit-cells-networks-20261011-perturbench-v4-eval-norman19-linear; fields: status; links; attributes.origin; attributes.comparison; sha256: 268c7da1f5a6af7c23fb3b5ed2cb5b2f40b341c4593c407ec95ec72c52e4775c; record id: lit-cells-networks-20261011-perturbench-v4-eval-norman19-sams-vae; fields: status; links; attributes.origin; attributes.comparison; sha256: 0752bc492c5edbcbbddf4bd438ee767fcbc19aff3f3117181d7be29c98a75951; record id: lit-cells-networks-20261011-perturbench-v4-eval-norman19-sams-vae-s; fields: status; links; attributes.origin; attributes.comparison; sha256: 347a42686265dcff1d9c763fd6e1dbe0333bbea93e30bcd1f1532593f5eac9b2; record id: lit-cells-networks-20261011-perturbench-v4-protocol-norman19; fields: status; name; description; facets; source_ids; links; attributes; sha256: d3635f8ff1013b5873ae7a0cd04a6dd569446fe6d4223c371c9311d63d5681b2; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-biolord-cosine-logfc-rank-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 2d8ce875eeb0ea96182f1b263238d87b0173bbaa82dc108d5d0a9243656c9c74; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-biolord-cosine-logfc-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: b368dce232a96a1322fe9ffdaa9f76a451c4eb98dd68acc5d6386f77149d6a6b; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-biolord-deg-recall-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 5d530393607e334a1bf19b784af747e79415854eb8fb48f0829bc225fb2169fd; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-biolord-mmd-pca-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 15679a053da667fa14140c67cb17c5203acc3210cf177841bcab5eef42d83fe7; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-biolord-mmd-t6; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: b98b971aab5b714bb00dd8a7e4b8528e50ad05bcf8d4bfff42663df300193e31; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-biolord-rmse-mean-rank-t6; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: dc0f8584d8d9303bdaf90345380d68ceb044452840bc4b10067ae3acf67ac174; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-biolord-rmse-mean-t6; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: adea36553e2ac5fda19ebc1c63ea5466ecbc3c8fb7ae44e88a979de6f6bd1a33; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-cpa-cosine-logfc-rank-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 46dbf72aa405c1c603ef3a611076cd4f9db4a2f7eec576352b2351f27f1cdb0a; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-cpa-cosine-logfc-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: dcc3d5e20099d994f05a161243bf0de9599fd97aa52e29eff9f53c02a7972dae; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-cpa-deg-recall-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 697745e408e52cab7b66f57acd7ffa606f880a7351593d58c0362b41da75d1bb; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-cpa-mmd-pca-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: a71825264a82f1e7dbb5892ce4d43d14d68c3df228fc030babc14592f08bd636; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-cpa-mmd-t6; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 62276b47df723676f47c5996ea137cfa3721783baed5a5b5fc39e1c3bdb90a3d; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-cpa-noadv-cosine-logfc-rank-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 57aa789e5249c5ad249ab501eafa7e1e17657e835b8d60f956bdf9a07773a833; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-cpa-noadv-cosine-logfc-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 4b6df9a394dfeec4d1f590c7259b1a00203d0d10d48894d596dd50154a84e8a5; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-cpa-noadv-deg-recall-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 4854782c6512345e16ebb882553f8b5de21b2bb22ab118bfcab0320a71842530; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-cpa-noadv-mmd-pca-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: f318a1cbe37110e505d86757153c3f8aabf9a97d14417516d52b548de4381630; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-cpa-noadv-mmd-t6; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: dcb9309efb37e9115735038b9c10d9fdb0d84f9704f0f99346f3c1b2c5d2d574; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-cpa-noadv-rmse-mean-rank-t6; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 725a6fa7ca5b1c58340f49d9f7d689fa97425f8e02ce3ffdf756df0723672b35; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-cpa-noadv-rmse-mean-t6; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: b0a6c9370669d79664c74fb9f99ed046046f7454fb4737535ebbc5afd3e35bd2; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-cpa-rmse-mean-rank-t6; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 7b438b912cc073116743e737c72bec1d93895e1fffeeca4b38892301ec17dc84; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-cpa-rmse-mean-t6; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 8fdf3b7a6e6b22a4d4ff182611ff2c0e0053befb5698c1f8f9c6cdcbff5c7d85; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-cpa-scgpt-cosine-logfc-rank-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: e04b284603d4bfd9a11df8b3bcc2db4556b0a3c7a744abca26f9ae85fa5ac946; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-cpa-scgpt-cosine-logfc-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 947ae41dc9321199cc65f6bafdd5cf74586ab80d43a753df4ecacfb4785b19ff; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-cpa-scgpt-rmse-mean-rank-t6; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 075b311e5dcbf256f52dd8ae7f18795bbea617f8e51770aac4a2b3779e64ce3a; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-cpa-scgpt-rmse-mean-t6; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 33f8337c6351f9d49fa4150474d324604ffa162a37511c38755b4f4b0ecdf50b; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-decoder-cosine-logfc-rank-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 7921a51560ac16ec7a44c077b9c1af5220aaa3966a0007457fff35ced944c1f7; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-decoder-cosine-logfc-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 837b4f2241f855bd93caadbf1284ac84733a763f50e92c2a6a52d15b8b2abebb; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-decoder-mmd-pca-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: e969e4b20443080b5f366749ef2d43579eb9fc9969f0830df06b46c76bb3283c; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-decoder-mmd-t6; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 186146b70bd2ab0ab7e71da0cd9172fa220b595505d545f35786ee4a1ce12ecb; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-decoder-rmse-mean-rank-t6; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 73427b857bc18b3ffc3e1e9895f4d1d8a593b4ba9839ee267dbc7daa88983ef1; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-decoder-rmse-mean-t6; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: dab5caaf80fb2fe88a155d9e829f163df6fb25b764418861aca91db494d0f0df; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-gears-cosine-logfc-rank-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 39814fc49de5ef6868d8e51d0b73052c990419b688e06f5b056b1af59c7bde24; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-gears-cosine-logfc-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 5af345605bcf994944a2544492df9a6aca9a1a79716d312b1f8ab4a1ea7cad06; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-gears-rmse-mean-rank-t6; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 86dc6607da40c489dc0e32eb754763eeb5464cc70f3eaae926af2987642c93ee; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-gears-rmse-mean-t6; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: b233d1b42f6a535cf015c9b3a736cc389c7e4fa1aac8357429bf9547b2f1d0fd; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-la-cosine-logfc-rank-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 7ec3a4749d34e7fa32585df42dbd1de6ae7d07094333143d491478a4dc273480; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-la-cosine-logfc-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: afaa5c372a6d3eb732c59976fd27dd84794cc21efc85a7f335ed5471e771a95a; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-la-deg-recall-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 214c34b0a5fd682e6fd288d4b344e7e2b3885fb3ccbe9c1ee6a8fda408f473f7; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-la-mmd-pca-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: e89d4ef3f8d40478cd7261b21e59cbadbb7920301e8e60d5a6e0177043baff6f; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-la-mmd-t6; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: f487e4610b3ae9b0a6185c2758bdd15921a8b6d09749c5e440ffc10087791589; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-la-rmse-mean-rank-t6; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: f32b917afa0bd7d109b65c0d268c41f86f85eca140001bd697de5d0ca013c30b; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-la-rmse-mean-t6; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 8928574169c6f9e0744b1d63da64abc8b92428a7981f690448bf4df4d71cf1b4; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-la-scgpt-cosine-logfc-rank-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 306f6f104b98a3653c6d802810301938e45b68a863e396728ec09893764303ec; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-la-scgpt-cosine-logfc-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 007ff999deb90e201db0daeb252898e8b0391ff5e71f5e5dccadc5dc1467c915; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-la-scgpt-rmse-mean-rank-t6; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 3173d7cafa3adcafe63f038f5aa6bb18ccfebaae2eda152f3079d647f4ceb3ad; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-la-scgpt-rmse-mean-t6; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 3faf4bb424977ce88c8763f4747612a8bbfb4209da3ab31b4f1e8803cc8556fe; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-linear-cosine-logfc-rank-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 158a9d97d5ebd538ba8434998cc1ffd862484ef2ceced6d562f6e9fbffe2503e; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-linear-cosine-logfc-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: ff4f1f1479df072a4c3097541a0372b53e63ca97641e6cc6693edc926c7e5060; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-linear-deg-recall-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 4c8f2c605dfb15acc34c863f1e5cb6f53783fb09870e630abe9c4a8ab3c33332; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-linear-mmd-pca-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 6523ac40cadb1dff74ade45528960d0ff0fb67d57ce69fa4b5ae830fdc6e3676; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-linear-mmd-t6; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 9cdc7eec63255c2b632991d4dc16f22986e8d0f7a628561feb736e0f87194257; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-linear-rmse-mean-rank-t6; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 9254d7ce9de392340ce874ead4081ada28915521ba6a695e1868d84e7246fdfb; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-linear-rmse-mean-t6; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: f16c2da720420d5c632ed2fedec17c7c197cb4267dadbb17e1ed727eff124430; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-sams-vae-cosine-logfc-rank-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: ebf914d8653364bea45492d5341337584a4555e3c48d54dd85138c786dfa16b8; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-sams-vae-cosine-logfc-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 9fba8fd150ebea292af52bb7bbeab7adc0df4d653f9d3b6a32d434b83ab39723; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-sams-vae-deg-recall-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 5d530393607e334a1bf19b784af747e79415854eb8fb48f0829bc225fb2169fd; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-sams-vae-mmd-pca-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 1baab3a918824c82965386f27fb5e32814e02f86e92e30e5e2b9aba3a30fe498; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-sams-vae-mmd-t6; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 5752fe89f67e2889d405d2f5f5e717767ec9e330a7222cefdd5fec0c86e15bc6; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-sams-vae-rmse-mean-rank-t6; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: b7a69df212b70fdbf8119d7b7dbafc30b4b11985f3073af7845a19342c6a3c94; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-sams-vae-rmse-mean-t6; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 60ffaf558c62da0b0d62e4fce44e4d6cdfc06c43482b0f2d92ee84cfd3ab608d; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-sams-vae-s-cosine-logfc-rank-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 12f4cdcb6183d9893320e8f1efbbe65e4d7ba70320420899376cb3824bb5aa97; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-sams-vae-s-cosine-logfc-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: fcad19734d8f3dac5cd301276960538775ffab88f88ff7e0d8a55118dd87dde6; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-sams-vae-s-deg-recall-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 90627a08c964569b7bf5d42ecd15c80c6e89f078c1013b1843d24eaf563f86ff; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-sams-vae-s-mmd-pca-t3; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 0409f7e66ecef208793a7db06c04321599c23a96fe41e6c5305d9243b90d483f; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-sams-vae-s-mmd-t6; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 027dd7c5611e24d67e5c7a8ade0f706c4d36a1ff084a833473644a23971aaff0; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-sams-vae-s-rmse-mean-rank-t6; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: bd15181f2f1ef18e841873c6c0b3fcf677c165a636908e6afd5f6247351162ef; record id: lit-cells-networks-20261011-perturbench-v4-result-norman19-sams-vae-s-rmse-mean-t6; fields: status; attributes.metric; attributes.metric_qualifier; attributes.printed_value; attributes.numeric_value; sha256: 1ee56febf896ab02fe4e0860e10ade923b0258f750b95a48d24ac8edbf1c12b4; record id: lit-cells-networks-20261011-perturbench-v4-source-wu2025; fields: status; attributes.artifact_sha256; sha256: bc98d4e6b3b80d990360172fedcd5e732535fb03f9d40ca0c85eb22d132e5aab; record id: use-case-genetic-perturbation-response; fields: status; name; description; facets; attributes.question; attributes.decision; attributes.inputs; attributes.output; attributes.exclusions; attributes.setting; attributes.clinical_scope; attributes.intended_users; sha256: 440f0f2e30cb7c828212bed728de2420ba8e13521280be58be7bdcdfe57ac973