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Task

GUE TRANSCRIPTION-FACTOR-PREDICTION-MOUSE-0: Transcription factor prediction (mouse), dataset 0

Transcription factor prediction (mouse), dataset 0. Scored with MCC on GUE Transcription factor prediction (mouse), 0. Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12.

10 evaluations · 10 results

Overview

Transcription factor prediction (mouse), dataset 0. Scored with MCC on GUE Transcription factor prediction (mouse), 0. Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12.

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.

GUE TRANSCRIPTION-FACTOR-PREDICTION-MOUSE-0: Transcription factor prediction (mouse), dataset 0

mcc (percent) · Higher values are better.

GUE TRANSCRIPTION-FACTOR-PREDICTION-MOUSE-0: Transcription factor prediction (mouse), dataset 0 · GUE Transcription factor prediction (mouse), 0 (GUE split)

Evidence origin: Author-reported evaluation.

DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 12, row(Transcription factor prediction (mouse))
  • Scores are MCC, except Covid variant classification which is F1, both on a 0 to 100 scale.
  • The diamond entry is DNABERT-2 with further pre-training on the GUE training sets, so it is not directly comparable to the others.
Comparison details and limitations

Every method GUE reports on Transcription factor prediction (mouse), dataset 0, scored with MCC on GUE Transcription factor prediction (mouse), 0.

  • Author-reported numbers, source checked but not independently reproduced.

Automated source review: 2026-09-18. Numerical source review does not establish independent reproduction.

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.

Showing 10 of 10 matching rows.

Tested configuration
-115.331.647.964.2
Reported score
  1. DNABERT-2 (further pre-trained on GUE)64.2
  2. NT-2500M-multi63.3
  3. DNABERT-256.8
  4. DNABERT (4-mer)49.4
  5. NT-2500M-1000g48.3
  6. DNABERT (6-mer)44.4
  7. DNABERT (5-mer)42.5
  8. DNABERT (3-mer)42.3
  9. NT-500M-1000g39.3
  10. NT-500M-human31

Methods and evaluation design

Procedure, tasks and evaluated configurations

Evaluation design

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Benchmarks

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Recorded evaluations

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Run instructions

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Strengths, limitations and unresolved questions

Evidence

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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.

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1 evidence row matching the loaded filters

Claims, original sources and review scope · Release 2026-09-29-06401fd5b220
Property and statementOriginal source and locationReview and provenance
Relationship: part of
discovery-benchmark-gue
Individual claims		DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes

Original source ↗

Table 12, row(Transcription factor prediction (mouse))

Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256
Retrieved: 2026-09-17T08:06:28.183387+00:00

source checked

automated source review · 2026-09-18

Audit details

Primary-source transcription with no human sign-off and no independent reproduction.

Field: links:part_of:discovery-benchmark-gue

Claim: gue-association-transcription-factor-prediction-mouse-0

Source artifact SHA-256: 49300acee3e4afd44bebc3de9893c3bc310d331bd4805374e0952fdfbf366f06

Hash scope: Exact retrieved primary paper artifact bytes.

Inspected artifact

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Sources and history

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Release 2026-09-29-06401fd5b220 · Record review: source checked

1 source records and release historyDownload this release
Technical metadata and extraction receipts

Stable ID: gue-task-transcription-factor-prediction-mouse-0

areas
dna-genomes
tasks
Transcription factor prediction (mouse), dataset 0
metric
MCC
metric direction
higher
dataset
GUE Transcription factor prediction (mouse), 0
protocol
Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12.
source locator
Table 12, row(Transcription factor prediction (mouse))
comparison panels
id: gue-panel-transcription-factor-prediction-mouse-0; title: GUE TRANSCRIPTION-FACTOR-PREDICTION-MOUSE-0: Transcription factor prediction (mouse), dataset 0; protocol id: gue-task-transcription-factor-prediction-mouse-0; dataset id: gue-dataset-gue-transcription-factor-prediction-mouse-0; metric: mcc; unit: percent; direction: higher; result ids: gue-result-dnabert-3-mer-transcription-factor-prediction-mouse-0-mcc; gue-result-dnabert-4-mer-transcription-factor-prediction-mouse-0-mcc; gue-result-dnabert-5-mer-transcription-factor-prediction-mouse-0-mcc; gue-result-dnabert-6-mer-transcription-factor-prediction-mouse-0-mcc; gue-result-nt-500m-human-transcription-factor-prediction-mouse-0-mcc; gue-result-nt-500m-1000g-transcription-factor-prediction-mouse-0-mcc; gue-result-nt-2500m-1000g-transcription-factor-prediction-mouse-0-mcc; gue-result-nt-2500m-multi-transcription-factor-prediction-mouse-0-mcc; gue-result-dnabert-2-transcription-factor-prediction-mouse-0-mcc; gue-result-dnabert-2-further-pre-trained-on-gue-transcription-factor-prediction-mouse-0-mcc; source ids: evidence-expansion-gue-49300ace; source locator: Table 12, row(Transcription factor prediction (mouse)); context: Every method GUE reports on Transcription factor prediction (mouse), dataset 0, scored with MCC on GUE Transcription factor prediction (mouse), 0.; caveats: Author-reported numbers, source checked but not independently reproduced.; Scores are MCC, except Covid variant classification which is F1, both on a 0 to 100 scale.; The diamond entry is DNABERT-2 with further pre-training on the GUE training sets, so it is not directly comparable to the others.; review: method: automated_source_review; date: 2026-09-18
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