mRNABench Sample designed MRL
Predict target_mrl_designed from sequence on the complete 15,003-record canonical test split. Train-only RidgeCV differs from upstream default validation evaluation; this is not an aggregate mRNABench score.
Overview
Predict target_mrl_designed from sequence on the complete 15,003-record canonical test split. Train-only RidgeCV differs from upstream default validation evaluation; this is not an aggregate mRNABench score.
Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.
Results
Each comparison retains its reviewed evaluation scope, dataset and metric. Results are shown without a pooled ranking.
mRNABench Sample designed MRL: local controls
mse (squared mean ribosome load) · Lower values are better.
Matched local controls on the same complete selected test split; not a comparison with published model scores.
mRNABench Sample designed MRL · mRNABench Sample designed MRL test subset
Evidence origin: Rewire evaluation. Numerical source review does not establish independent reproduction.
Sequence composition + RidgeCV: local execution report (20 September 2026); Training-mean control: local execution report (20 September 2026) · Execution reports: metrics.mseOne execution per configuration; uncertainty not estimated.
All comparison limitations (2)
- One execution per configuration; uncertainty not estimated.
- This selected protocol is not a benchmark-wide aggregate.
Automated source review: 2026-09-20.
No unavailable values; missing scores remain labelled and are never plotted as zero.
Showing 2 of 2 matching rows. Source order is preserved.
Dots show point estimates. Whiskers show only explicitly defined uncertainty (standard deviation, standard error or a labelled interval); their definitions remain in Table. Unresolved uncertainty is not plotted. Differences do not establish statistical significance.
Methods and evaluation design
Procedure, tasks and evaluated configurations
Evaluation design
Benchmarks bring together tasks and protocols. A task describes the biological question; a protocol defines a particular test.
Benchmarks
These source-backed links do not make different protocols or scores interchangeable.
Recorded evaluations
Each evaluation records what was tested and under which conditions.
Run this benchmark
Repeat the four local sequence controls
Predict target_mrl_designed from sequence on the complete 15,003-record canonical test split. Train-only RidgeCV differs from upstream default validation evaluation; this is not an aggregate mRNABench score.
Generate predictions and evaluate them. This recipe does not establish reproduction of a particular published score.
- Dataset access
- Obtain the permitted source files and verify hashes following the cited instructions before running.
- Model and weights
- No pretrained weights; procedural controls fit only training labels.
- Licences
- Follow original dataset and software reuse terms. No dataset or weight redistribution is included.
- Software
- Pinned runner checkout; Python 3.11.13 and rewirebench 0.4.0 wheel. Install the exact executed dependency list linked in the instructions.
- Hardware
- Executed on macOS arm64 CPU, one thread. No accelerator required; memory and cross-platform performance unreported.
Required inputs and expected outputs
Inputs
- Pinned Rhomax by_wild_type CSV and Sample designed parquet; script evaluates both datasets and both controls
Outputs
- Private predictions, coverage report, metrics and sanitized contribution bundle
Execution steps
1. Run from the pinned runner checkout after preparation (Command line)
Source reviewed; these instructions have not been executed by rewire.
mRNABench Sample designed MRL: reproduction instructions · Reproduce section; replace paths with prepared local inputsOPENBLAS_NUM_THREADS=1 OMP_NUM_THREADS=1 python research/local-runs-2026-09-20/run_sequence.py \ --flip-source local-inputs/by_wild_type.csv.gz \ --mrna-source local-inputs/mrl-sample-designed.parquet \ --work local-execution --evidence local-evidence
Use your own model
Run your model locally and return predictions keyed by the input IDs. The evaluator supplies biological inputs without test labels and owns scoring. This interface is not a sandbox for model code.
Pass your existing prediction function into this adapter. Its output direction must match the selected protocol.
class MyModelAdapter:
def __init__(self, score):
self.score = score
def predict(self, inputs):
return {row["id"]: float(self.score(row)) for row in inputs}
# adapter = MyModelAdapter(your_prediction_function)
# report = rewirebench.run(prepared, adapter, output="runs/my-model")Alternatively, generate a keyed prediction file in your existing model environment and use the score-only recipe. Your model code and weights do not need to be shared.
mRNABench Sample designed MRL: reproduction instructions · Reproduction instructions and execution scopeScope and limitations
- The script was executed locally, but these portable path examples have not been rerun verbatim.
- Only the selected assay or selected sequence controls are evaluated; no suite aggregate.
- Use new output directories. Raw predictions and private inputs are not uploaded.
- Matching a fresh local result is distinct from reproducing an earlier paper score.
Contribute a result for review. The library can submit an exported evaluation for private review when intake is open. Check the contribution page for access and sign-in.
Original repository instructions
Run instructions
No runnable recipe has been reviewed for this protocol. Dataset access, model requirements, licences and compute requirements must be checked against its sources before execution.
Strengths, limitations and unresolved questions
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.
7 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Run recipe: inputs ["Pinned Rhomax by_wild_type CSV and Sample designed parquet; script evaluates both datasets and both controls"] Individual claims | mRNABench Sample designed MRL: reproduction instructions Reproduction instructions and execution scope Version: ca73fa47136d182f2d4ddb083d084712198fc0e2 | source checked implementation review Audit detailsRecipe metadata reviewed against pinned sources; not experimental reproduction. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Run recipe: Run from the pinned runner checkout after preparation OPENBLAS_NUM_THREADS=1 OMP_NUM_THREADS=1 python research/local-runs-2026-09-20/run_sequence.py \ --flip-source local-inputs/by_wild_type.csv.gz \ --mrna-source local-inputs/mrl-sample-designed.parquet \ --work local-execution --evidence local-evidence Individual claims | mRNABench Sample designed MRL: reproduction instructions Reproduce section; replace paths with prepared local inputs Version: ca73fa47136d182f2d4ddb083d084712198fc0e2 | source checked implementation review Audit detailsExecution status: source_reviewed_not_executed. Execution receipts apply only to their stated scope; not experimental reproduction. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Run recipe: limitations ["The script was executed locally, but these portable path examples have not been rerun verbatim.","Only the selected assay or selected sequence controls are evaluated; no suite aggregate.","Use new output directories. Raw predictions and private inputs are not uploaded.","Matching a fresh local result is distinct from reproducing an earlier paper score."] Individual claims | mRNABench Sample designed MRL: reproduction instructions Reproduction instructions and execution scope Version: ca73fa47136d182f2d4ddb083d084712198fc0e2 | source checked implementation review Audit detailsRecipe metadata reviewed against pinned sources; not experimental reproduction. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Run recipe: outputs ["Private predictions, coverage report, metrics and sanitized contribution bundle"] Individual claims | mRNABench Sample designed MRL: reproduction instructions Reproduction instructions and execution scope Version: ca73fa47136d182f2d4ddb083d084712198fc0e2 | source checked implementation review Audit detailsRecipe metadata reviewed against pinned sources; not experimental reproduction. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Run recipe: requirements {"data":"Obtain the permitted source files and verify hashes following the cited instructions before running.","weights":"No pretrained weights; procedural controls fit only training labels.","licence":"Follow original dataset and software reuse terms. No dataset or weight redistribution is included.","software":"Pinned runner checkout; Python 3.11.13 and rewirebench 0.4.0 wheel. Install the exact executed dependency list linked in the instructions.","hardware":"Executed on macOS arm64 CPU, one thread. No accelerator required; memory and cross-platform performance unreported."} Individual claims | mRNABench Sample designed MRL: reproduction instructions Reproduction instructions and execution scope Version: ca73fa47136d182f2d4ddb083d084712198fc0e2 | source checked implementation review Audit detailsRecipe metadata reviewed against pinned sources; not experimental reproduction. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Run recipe: summary Predict target_mrl_designed from sequence on the complete 15,003-record canonical test split. Train-only RidgeCV differs from upstream default validation evaluation; this is not an aggregate mRNABench score. Individual claims | mRNABench Sample designed MRL: reproduction instructions Reproduction instructions and execution scope Version: ca73fa47136d182f2d4ddb083d084712198fc0e2 | source checked implementation review Audit detailsRecipe metadata reviewed against pinned sources; not experimental reproduction. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Relationship: part of discovery-benchmark-mrnabench Individual claims | Sequence composition + RidgeCV: local execution report (20 September 2026) protocol_id; protocol_configuration; provenance Version: ca73fa47136d182f2d4ddb083d084712198fc0e2 | source checked automated execution evidence review · 2026-09-20T20:54:03Z Audit detailsField: Claim: rewire-protocol-mrnabench-designed-mrl-v1-part-of-discovery-benchmark-mrnabench Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
Sources and history
View linked audit checks and correction history
Release 2026-09-22-f58a0f1d267f · Record review: source checked
2 source records and release history
- Sequence composition + RidgeCV: local execution report (20 September 2026) · Original source · ca73fa47136d182f2d4ddb083d084712198fc0e2
- mRNABench Sample designed MRL: reproduction instructions · Original source · ca73fa47136d182f2d4ddb083d084712198fc0e2
Technical metadata and extraction receipts
Stable ID: rewire-protocol-mrnabench-designed-mrl-v1
- areas
- rna-transcriptomics
- protocol id
- mrnabench-sample-mrl-v1
- version
- 1
- procedure
- adapter input contract: opaque-sequence-only-v1; canonical test count: 15003; dataset: designed; eligible count: 100017; excluded: None recorded; head: alphas: 0.001; 0.01; 0.1; 1; 10; fit split: train; normalization: none; type: RidgeCV; input context: Full processed sequence without CDS/splice/derived tracks; metric: mse; metric direction: lower; scope note: One Sample dataset/target only, not a complete mRNABench score; seed: 2541; smoke limit per split: Not reported; source count: 100017; split counts: test: 15003; train: 70011; validation: 15003; split ratios: 0.7; 0.15; 0.15; target: target_mrl_designed; task: regression
- source locator
- protocol_configuration; protocol_results; provenance
- access note
- See the pinned execution report and source retrieval evidence. Dataset reuse terms are source-specific.
- reproducibility note
- Fresh local evaluation; reference metric agreement is not reproduction of a paper score.
- reproduction url
- https://github.com/rewire-bio/rewire-benchmarks/blob/ca73fa47136d182f2d4ddb083d084712198fc0e2/research/local-runs-2026-09-20/README.md
- run recipes
- id: local-20260920-mrnabench-repeat; protocol id: rewire-protocol-mrnabench-designed-mrl-v1; version: ca73fa47136d182f2d4ddb083d084712198fc0e2; title: Repeat the four local sequence controls; purpose: generate_and_evaluate; summary: Predict target_mrl_designed from sequence on the complete 15,003-record canonical test split. Train-only RidgeCV differs from upstream default validation evaluation; this is not an aggregate mRNABench score.; inputs: Pinned Rhomax by_wild_type CSV and Sample designed parquet; script evaluates both datasets and both controls; outputs: Private predictions, coverage report, metrics and sanitized contribution bundle; requirements: data: Obtain the permitted source files and verify hashes following the cited instructions before running.; weights: No pretrained weights; procedural controls fit only training labels.; licence: Follow original dataset and software reuse terms. No dataset or weight redistribution is included.; software: Pinned runner checkout; Python 3.11.13 and rewirebench 0.4.0 wheel. Install the exact executed dependency list linked in the instructions.; hardware: Executed on macOS arm64 CPU, one thread. No accelerator required; memory and cross-platform performance unreported.; instructions: runtime: command_line; title: Run from the pinned runner checkout after preparation; code: OPENBLAS_NUM_THREADS=1 OMP_NUM_THREADS=1 python research/local-runs-2026-09-20/run_sequence.py \ --flip-source local-inputs/by_wild_type.csv.gz \ --mrna-source local-inputs/mrl-sample-designed.parquet \ --work local-execution --evidence local-evidence; status: source_reviewed_not_executed; source ids: rewire-local-20260920-instructions-mrnabench; source locator: Reproduce section; replace paths with prepared local inputs; limitations: The script was executed locally, but these portable path examples have not been rerun verbatim.; Only the selected assay or selected sequence controls are evaluated; no suite aggregate.; Use new output directories. Raw predictions and private inputs are not uploaded.; Matching a fresh local result is distinct from reproducing an earlier paper score.; source ids: rewire-local-20260920-instructions-mrnabench; source locator: Reproduction instructions and execution scope
- comparison panels
- id: local-20260920-mrnabench-mse; title: mRNABench Sample designed MRL: local controls; protocol id: rewire-protocol-mrnabench-designed-mrl-v1; dataset id: rewire-dataset-mrnabench-designed-mrl-v1; metric: mse; unit: squared mean ribosome load; direction: lower; result ids: rewire-local-20260920-result-mrnabench-composition-mse; rewire-local-20260920-result-mrnabench-train-mean-mse; source ids: rewire-local-20260920-source-mrnabench-composition; rewire-local-20260920-source-mrnabench-train-mean; source locator: Execution reports: metrics.mse; context: Matched local controls on the same complete selected test split; not a comparison with published model scores.; caveats: One execution per configuration; uncertainty not estimated.; This selected protocol is not a benchmark-wide aggregate.; review: method: automated_source_review; date: 2026-09-20