rewirebio.iobenchmarks
Evaluation

Gene-level logistic regression on Replogle genome-scale CRISPRi, RPE1, 1,167 perturbations, confound battery

Published comparison transcribed from the pinned source; not reproduced.

Evaluation results

1 evaluation · 1 result. Different protocols are not a single leaderboard.

Filter evaluations

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: Gene-level logistic regression (Kendiukhov 2026)Protocol: Gene-level logistic regression under 5-fold GroupKFold by perturbation (Kendiukhov 2026)
Dataset subset: Replogle genome-scale CRISPRi, RPE1, 1,167 perturbations, confound battery (Kendiukhov 2026)
0.942 AUROC (cross-validated AUROC over perturbation-gene pairs, 5-fold GroupKFold by perturbation)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

Gene-level logistic regression on Replogle genome-scale CRISPRi, RPE1, 1,167 perturbations, confound battery

gfm-guides-20261014-kendiukhov2026-protocol-incremental-value-lr

Aggregation: Not reported

Systematic evaluation of single-cell foundation model interpretability: attention-derived edge scores add no incremental value over gene-level features for perturbation-target prediction (Kendiukhov 2026, BMC Genomics 27:634) · Page 10, 'Cross-cell-type generalisation of confound pattern', item (ii): 'Gene-level features alone achieve AUROC = 0.942 under 5-fold GroupKFold CV'

Source checking is not independent reproduction. Release 2026-11-02-a7f03c9e55a5.

Research readiness

0 of 4 readiness checks met. These checks assess whether the evidence supports a reproducible investigation; a source-checked score alone does not meet them.

Readiness checks, gaps and artifacts

Release 2026-11-02-a7f03c9e55a5 · Evidence verified: Not verified

Evidence incomplete

Replay metrics

Exact outcomes, predictions, identifiers and evaluator are connected.

Missing or unresolved evidence

  • No verified artifact manifest is linked to this exact record.
  • File checksums match the recorded files: not yet verified
  • Predictions are matched to the right samples: not yet verified
  • Score meaning and direction are confirmed: not yet verified
  • Metrics are recomputed from the saved predictions: not yet verified

Verified: Not verified

Evidence incomplete

Investigate discrepancies

Replay evidence includes annotations and an assessment of dependence. Unknown independence permits descriptive analysis only.

Missing or unresolved evidence

  • No verified artifact manifest is linked to this exact record.
  • File checksums match the recorded files: not yet verified
  • Predictions are matched to the right samples: not yet verified
  • Score meaning and direction are confirmed: not yet verified
  • Metrics are recomputed from the saved predictions: not yet verified
  • Sample annotations are recorded: not yet verified
  • Dependence between samples is assessed: not yet verified

Verified: Not verified

Evidence incomplete

Run locally

A pinned recipe describes the inputs, environment and resource requirements.

Missing or unresolved evidence

  • No verified artifact manifest is linked to this exact record.
  • File checksums match the recorded files: not yet verified
  • Predictions are matched to the right samples: not yet verified
  • Score meaning and direction are confirmed: not yet verified
  • A pinned run recipe exists: not yet verified
  • Compute requirements are estimated: not yet verified

Verified: Not verified

Evidence incomplete

Validate independently

Separate data and exposure records support an independent test.

Missing or unresolved evidence

  • No verified artifact manifest is linked to this exact record.
  • File checksums match the recorded files: not yet verified
  • Predictions are matched to the right samples: not yet verified
  • Score meaning and direction are confirmed: not yet verified
  • Independent validation data exist: not yet verified
  • Overlap with training data is checked: not yet verified

Verified: Not verified

Readiness describes the evidence in this release. Availability on your computer is checked separately when an investigation runs. Existing data exposure can prevent independent validation even when files are available.

Artifacts and reproduction

No verified artifact manifest is connected to this record yet. The gaps above identify what is needed before analysis can begin.

Evaluation procedure

Gene-level logistic regression under 5-fold GroupKFold by perturbation (Kendiukhov 2026)

Configuration
Gene-level logistic regression (Kendiukhov 2026)
Protocol
Gene-level logistic regression under 5-fold GroupKFold by perturbation (Kendiukhov 2026)
Dataset subset
Replogle genome-scale CRISPRi, RPE1, 1,167 perturbations, confound battery (Kendiukhov 2026)
origin
Author-reported evaluation
configuration
BMC Genomics 27:634 as retrieved 2026-10-14
protocol id
gfm-guides-20261014-kendiukhov2026-protocol-incremental-value-lr
dataset version
Not reported
split
5-fold GroupKFold by perturbation
population
Not reported
inputs
Control-cell expression and DE labels of the perturbation dataset; Perturbation-gene pairs; 5-fold GroupKFold grouped by perturbation
adaptation
Foundation-model attention read out zero-shot; correlation and gene-level statistics computed from the same control cells; logistic regression fitted under GroupKFold
metric implementation
Cross-validated AUROC over perturbation-gene pairs
aggregation
Pooled over perturbation-gene pairs
budget
Not reported

Metadata review: source checked. Unreported conditions prevent automatic comparisons.

Reproduction

Split
5-fold GroupKFold by perturbation
Adaptation
Foundation-model attention read out zero-shot; correlation and gene-level statistics computed from the same control cells; logistic regression fitted under GroupKFold
Scoring implementation
Cross-validated AUROC over perturbation-gene pairs

No execution recipe has been verified for this exact configuration and evaluation. A benchmark's general instructions may use different inputs, splits or model settings.

Reproducing this published result requires matching its model configuration, data, split and scorer. Source checking or a successful smoke test does not establish score reproduction.

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.

18 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-11-02-a7f03c9e55a5
Property and statementOriginal source and locationReview and provenance
Comparison: adaptation
Foundation-model attention read out zero-shot; correlation and gene-level statistics computed from the same control cells; logistic regression fitted under GroupKFold
Context-only references
Systematic evaluation of single-cell foundation model interpretability: attention-derived edge scores add no incremental value over gene-level features for perturbation-target prediction (Kendiukhov 2026, BMC Genomics 27:634)

Original source ↗

Page 10, 'Cross-cell-type generalisation of confound pattern'

Version: Version of record, BMC Genomics 27:634, published 2026-07-22 (received 2026-03-10, accepted 2026-05-14)
Retrieved: 2026-10-14T12:01:07Z

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.adaptation

Source artifact SHA-256: 4c1699cb964ae588117a6737f5e9e189eb9a5ef5ff78568d2a99e7a13d6608fe

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Comparison: aggregation
Pooled over perturbation-gene pairs
Context-only references
Systematic evaluation of single-cell foundation model interpretability: attention-derived edge scores add no incremental value over gene-level features for perturbation-target prediction (Kendiukhov 2026, BMC Genomics 27:634)

Original source ↗

Page 10, 'Cross-cell-type generalisation of confound pattern'

Version: Version of record, BMC Genomics 27:634, published 2026-07-22 (received 2026-03-10, accepted 2026-05-14)
Retrieved: 2026-10-14T12:01:07Z

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.aggregation

Source artifact SHA-256: 4c1699cb964ae588117a6737f5e9e189eb9a5ef5ff78568d2a99e7a13d6608fe

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Comparison: budget
Not reported
Context-only references
Systematic evaluation of single-cell foundation model interpretability: attention-derived edge scores add no incremental value over gene-level features for perturbation-target prediction (Kendiukhov 2026, BMC Genomics 27:634)

Original source ↗

Page 10, 'Cross-cell-type generalisation of confound pattern'

Version: Version of record, BMC Genomics 27:634, published 2026-07-22 (received 2026-03-10, accepted 2026-05-14)
Retrieved: 2026-10-14T12:01:07Z

missing or unspecified

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.budget

Source artifact SHA-256: 4c1699cb964ae588117a6737f5e9e189eb9a5ef5ff78568d2a99e7a13d6608fe

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Comparison: dataset version
Not reported
Context-only references
Systematic evaluation of single-cell foundation model interpretability: attention-derived edge scores add no incremental value over gene-level features for perturbation-target prediction (Kendiukhov 2026, BMC Genomics 27:634)

Original source ↗

Page 10, 'Cross-cell-type generalisation of confound pattern'

Version: Version of record, BMC Genomics 27:634, published 2026-07-22 (received 2026-03-10, accepted 2026-05-14)
Retrieved: 2026-10-14T12:01:07Z

missing or unspecified

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.dataset_version

Source artifact SHA-256: 4c1699cb964ae588117a6737f5e9e189eb9a5ef5ff78568d2a99e7a13d6608fe

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Comparison: inputs
Control-cell expression and DE labels of the perturbation dataset; Perturbation-gene pairs; 5-fold GroupKFold grouped by perturbation
Context-only references
Systematic evaluation of single-cell foundation model interpretability: attention-derived edge scores add no incremental value over gene-level features for perturbation-target prediction (Kendiukhov 2026, BMC Genomics 27:634)

Original source ↗

Page 10, 'Cross-cell-type generalisation of confound pattern'

Version: Version of record, BMC Genomics 27:634, published 2026-07-22 (received 2026-03-10, accepted 2026-05-14)
Retrieved: 2026-10-14T12:01:07Z

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.inputs

Source artifact SHA-256: 4c1699cb964ae588117a6737f5e9e189eb9a5ef5ff78568d2a99e7a13d6608fe

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Comparison: metric implementation
Cross-validated AUROC over perturbation-gene pairs
Context-only references
Systematic evaluation of single-cell foundation model interpretability: attention-derived edge scores add no incremental value over gene-level features for perturbation-target prediction (Kendiukhov 2026, BMC Genomics 27:634)

Original source ↗

Page 10, 'Cross-cell-type generalisation of confound pattern'

Version: Version of record, BMC Genomics 27:634, published 2026-07-22 (received 2026-03-10, accepted 2026-05-14)
Retrieved: 2026-10-14T12:01:07Z

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.metric_implementation

Source artifact SHA-256: 4c1699cb964ae588117a6737f5e9e189eb9a5ef5ff78568d2a99e7a13d6608fe

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Comparison: population
Not reported
Context-only references
Systematic evaluation of single-cell foundation model interpretability: attention-derived edge scores add no incremental value over gene-level features for perturbation-target prediction (Kendiukhov 2026, BMC Genomics 27:634)

Original source ↗

Page 10, 'Cross-cell-type generalisation of confound pattern'

Version: Version of record, BMC Genomics 27:634, published 2026-07-22 (received 2026-03-10, accepted 2026-05-14)
Retrieved: 2026-10-14T12:01:07Z

missing or unspecified

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.population

Source artifact SHA-256: 4c1699cb964ae588117a6737f5e9e189eb9a5ef5ff78568d2a99e7a13d6608fe

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Comparison: protocol id
gfm-guides-20261014-kendiukhov2026-protocol-incremental-value-lr
Context-only references
Systematic evaluation of single-cell foundation model interpretability: attention-derived edge scores add no incremental value over gene-level features for perturbation-target prediction (Kendiukhov 2026, BMC Genomics 27:634)

Original source ↗

Page 10, 'Cross-cell-type generalisation of confound pattern'

Version: Version of record, BMC Genomics 27:634, published 2026-07-22 (received 2026-03-10, accepted 2026-05-14)
Retrieved: 2026-10-14T12:01:07Z

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.protocol_id

Source artifact SHA-256: 4c1699cb964ae588117a6737f5e9e189eb9a5ef5ff78568d2a99e7a13d6608fe

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Comparison: split
5-fold GroupKFold by perturbation
Context-only references
Systematic evaluation of single-cell foundation model interpretability: attention-derived edge scores add no incremental value over gene-level features for perturbation-target prediction (Kendiukhov 2026, BMC Genomics 27:634)

Original source ↗

Page 10, 'Cross-cell-type generalisation of confound pattern'

Version: Version of record, BMC Genomics 27:634, published 2026-07-22 (received 2026-03-10, accepted 2026-05-14)
Retrieved: 2026-10-14T12:01:07Z

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.split

Source artifact SHA-256: 4c1699cb964ae588117a6737f5e9e189eb9a5ef5ff78568d2a99e7a13d6608fe

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Origin
author_reported
Context-only references
Systematic evaluation of single-cell foundation model interpretability: attention-derived edge scores add no incremental value over gene-level features for perturbation-target prediction (Kendiukhov 2026, BMC Genomics 27:634)

Original source ↗

Page 10, 'Cross-cell-type generalisation of confound pattern'

Version: Version of record, BMC Genomics 27:634, published 2026-07-22 (received 2026-03-10, accepted 2026-05-14)
Retrieved: 2026-10-14T12:01:07Z

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.origin

Source artifact SHA-256: 4c1699cb964ae588117a6737f5e9e189eb9a5ef5ff78568d2a99e7a13d6608fe

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

How to read the evidence

Sources and history

Release 2026-11-02-a7f03c9e55a5 · Record review: source checked

1 source record and release historyDownload this release (gzip)
Technical metadata and extraction receipts

Stable ID: gfm-guides-20261014-kendiukhov2026-eval-incremental-value-lr-rpe1-crispri-1167-gene-level-logistic-regression

areas
single-cell; biological-networks
contexts
research
origin
author_reported
protocol
gfm-guides-20261014-kendiukhov2026-protocol-incremental-value-lr
version
BMC Genomics 27:634 as retrieved 2026-10-14
comparison
protocol id: gfm-guides-20261014-kendiukhov2026-protocol-incremental-value-lr; dataset version: Not reported; split: 5-fold GroupKFold by perturbation; population: Not reported; inputs: Control-cell expression and DE labels of the perturbation dataset; Perturbation-gene pairs; 5-fold GroupKFold grouped by perturbation; adaptation: Foundation-model attention read out zero-shot; correlation and gene-level statistics computed from the same control cells; logistic regression fitted under GroupKFold; metric implementation: Cross-validated AUROC over perturbation-gene pairs; aggregation: Pooled over perturbation-gene pairs; budget: Not reported
source locator
Page 10, 'Cross-cell-type generalisation of confound pattern'
missing metadata
comparison.budget: reason: unreported; comparison.dataset version: reason: unreported; comparison.population: reason: unreported
Related records

Suggest a correction