Assess models for genetic perturbation experiments

Your decision and inputs

Choose models and controls for a pilot in the intended cell system before using predictions to select follow-up experiments. The current evidence compares expression prediction; it does not establish experimental hit rates.

Who this is for

Researchers designing genetic perturbation screens; Computational biologists evaluating perturbation-response models

Context

Research

Inputs

• Single-cell expression measurements from perturbed and unperturbed cells, with perturbation and cell-type labels
• A study design with multiple measured perturbations and cells per perturbation; combinations require combination examples during GEARS training

Expected output

Predicted post-perturbation expression and changes relative to unperturbed controls, assessed against measured responses.

Biological setting

Research method assessment anchored to the Norman2019 K562 cell-line comparison in GEARS Supplementary Table 6. Both endpoints below describe the same four evaluated configurations.

Outside this use case

• Cross-cell-type transfer and bulk-sequencing prediction are outside the cited GEARS usage scope.
• Training GEARS only on single-gene perturbations does not support reliable combination prediction.
• Expression prediction scores do not establish causal mechanism, fitness effects or successful experimental prioritisation.

Which evaluations inform this question?

Evidence is grouped by its protocol. Relevance refers to the stated endpoint and context; it is separate from clinical validation and from the review method.

What evidence is still missing?

• The exact Table 6 split manifest, scoring gene subset, scored counts and checkpoint revisions remain unextracted. Do not silently label the MSE endpoint as Top20.
• The table does not identify its printed spread as SD, SE or a confidence interval; these scores do not establish a statistically supported winner.
• Both endpoints and the repeated No Perturb row are overlapping evidence from one source comparison, not independent replications.
• Performance in a new cell system and experimental hit rates need a separate prospective evaluation. Human scientific review remains outstanding.

Contribute evidence or propose a correction

Sources and review

Automated source review · 2026-09-28 · Codex research curation

Primary-source curation and separate automated cross-review checked exact evidence identities, comparator coverage, endpoint relevance and transfer limits. No new execution, human scientific review, independent replication or clinical validation.

• GEARS primary supplement, Table6 · Original source ↗Supplementary Table 6, printed page 34 / PDF page 35; Supplementary Table 1, PDF page 30; Supplementary Notes 5 and 14 (K562 context).
• snap-stanford/GEARS: README.md · Original source ↗README.md at f374e43e197b295016d80395d7a54ddb81cc6769, A note on usage (lines 15–19) and Core API Interface (lines 20–54).