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Dataset subset

GUE Transcription factor prediction (mouse), 2 (GUE split)

The split of GUE Transcription factor prediction (mouse), 2 that GUE evaluated on. The upstream dataset release is not catalogued here, so no claim is made that this matches its original splits.

Subset and evaluation context

This record describes a particular subset or cohort used in an evaluation. Its results do not describe the full dataset.

Evaluation results

Release 2026-09-17-134cd1815de8 · 10 evaluations · 10 metric rows. Different protocols are not a single leaderboard. Where several source tables report the same metric, the published comparisons above offer a pooled view that names what it does not hold constant.

Results grouped by the exact reported evaluation
Metric and findingCoverage and uncertaintyEvidence
DNABERT-2 (further pre-trained on GUE) on GUE TRANSCRIPTION-FACTOR-PREDICTION-MOUSE-2: Transcription factor prediction (mouse), dataset 2

Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12.

Author-reported evaluation · Evaluation metadata: source checked

81.28% mcc

Unit: percent · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedDNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(DNABERT-2♦), column(Transcription factor prediction (mouse) 2)

Source checking is not independent reproduction.

DNABERT-2 on GUE TRANSCRIPTION-FACTOR-PREDICTION-MOUSE-2: Transcription factor prediction (mouse), dataset 2

Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12.

Author-reported evaluation · Evaluation metadata: source checked

79.32% mcc

Unit: percent · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedDNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(DNABERT-2), column(Transcription factor prediction (mouse) 2)

Source checking is not independent reproduction.

DNABERT (3-mer) on GUE TRANSCRIPTION-FACTOR-PREDICTION-MOUSE-2: Transcription factor prediction (mouse), dataset 2

Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12.

Author-reported evaluation · Evaluation metadata: source checked

69.90% mcc

Unit: percent · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedDNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(DNABERT (3-mer)), column(Transcription factor prediction (mouse) 2)

Source checking is not independent reproduction.

DNABERT (4-mer) on GUE TRANSCRIPTION-FACTOR-PREDICTION-MOUSE-2: Transcription factor prediction (mouse), dataset 2

Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12.

Author-reported evaluation · Evaluation metadata: source checked

72.62% mcc

Unit: percent · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedDNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(DNABERT (4-mer)), column(Transcription factor prediction (mouse) 2)

Source checking is not independent reproduction.

DNABERT (5-mer) on GUE TRANSCRIPTION-FACTOR-PREDICTION-MOUSE-2: Transcription factor prediction (mouse), dataset 2

Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12.

Author-reported evaluation · Evaluation metadata: source checked

62.22% mcc

Unit: percent · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedDNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(DNABERT (5-mer)), column(Transcription factor prediction (mouse) 2)

Source checking is not independent reproduction.

DNABERT (6-mer) on GUE TRANSCRIPTION-FACTOR-PREDICTION-MOUSE-2: Transcription factor prediction (mouse), dataset 2

Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12.

Author-reported evaluation · Evaluation metadata: source checked

71.44% mcc

Unit: percent · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedDNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(DNABERT (6-mer)), column(Transcription factor prediction (mouse) 2)

Source checking is not independent reproduction.

NT-2500M-1000g on GUE TRANSCRIPTION-FACTOR-PREDICTION-MOUSE-2: Transcription factor prediction (mouse), dataset 2

Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12.

Author-reported evaluation · Evaluation metadata: source checked

70.14% mcc

Unit: percent · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedDNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(NT-2500M-1000g), column(Transcription factor prediction (mouse) 2)

Source checking is not independent reproduction.

NT-2500M-multi on GUE TRANSCRIPTION-FACTOR-PREDICTION-MOUSE-2: Transcription factor prediction (mouse), dataset 2

Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12.

Author-reported evaluation · Evaluation metadata: source checked

71.52% mcc

Unit: percent · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedDNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(NT-2500M-multi), column(Transcription factor prediction (mouse) 2)

Source checking is not independent reproduction.

NT-500M-1000g on GUE TRANSCRIPTION-FACTOR-PREDICTION-MOUSE-2: Transcription factor prediction (mouse), dataset 2

Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12.

Author-reported evaluation · Evaluation metadata: source checked

64.70% mcc

Unit: percent · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedDNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(NT-500M-1000g), column(Transcription factor prediction (mouse) 2)

Source checking is not independent reproduction.

NT-500M-human on GUE TRANSCRIPTION-FACTOR-PREDICTION-MOUSE-2: Transcription factor prediction (mouse), dataset 2

Fine-tuned on the GUE training split, scored on its test split. Split sizes are in Table 12.

Author-reported evaluation · Evaluation metadata: source checked

61.67% mcc

Unit: percent · Direction: higher

Uncertainty: Not reported

Scored: Not reported · Eligible: Not reported

source checkedDNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes · Table 6, row(NT-500M-human), column(Transcription factor prediction (mouse) 2)

Source checking is not 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.

2 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-09-17-134cd1815de8
Property and statementOriginal source and locationReview and provenance
description

The split of GUE Transcription factor prediction (mouse), 2 that GUE evaluated on. The upstream dataset release is not catalogued here, so no claim is made that this matches its original splits.

Context-only references
DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes

Original source ↗

No field-specific location recorded

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

not individually reviewed

No individual claim review recorded

Audit details

Field: description

Source artifact SHA-256: 49300acee3e4afd44bebc3de9893c3bc310d331bd4805374e0952fdfbf366f06

Hash scope: Exact retrieved primary paper artifact bytes.

Inspected artifact

name

GUE Transcription factor prediction (mouse), 2 (GUE split)

Context-only references
DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genomes

Original source ↗

No field-specific location recorded

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

not individually reviewed

No individual claim review recorded

Audit details

Field: name

Source artifact SHA-256: 49300acee3e4afd44bebc3de9893c3bc310d331bd4805374e0952fdfbf366f06

Hash scope: Exact retrieved primary paper artifact bytes.

Inspected artifact

Sources and history

Release 2026-09-17-134cd1815de8 · Record review: source checked

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

Stable ID: gue-dataset-gue-transcription-factor-prediction-mouse-2

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missing metadata
version: unreported; url: unextracted
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