Strengths and considerations
No source-reviewed explanatory claims are recorded here yet.
model · method
Nucleotide Transformer + NN (middle)
Nucleotide Transformer + NN (middle) is the method recorded for gene fusion breakpoint classification. This page preserves the configuration reported by Benchmarking genomic foundation models for binary classification of gene fusion breakpoints from DNA sequences.
At a glance
Explanatory profile: limited source coverage · Automated source review, 2026-09-16. This does not change the review status of its results.
| Property | Description and evidence |
|---|---|
| Recorded dataset | gene fusion breakpoint DNA sequencesBenchmarking genomic foundation models for binary classification of gene fusion breakpoints from DNA sequences · Table 2, NT / NN (middle) row, ROC AUC column |
| Recorded split | full test setBenchmarking genomic foundation models for binary classification of gene fusion breakpoints from DNA sequences · Table 2, NT / NN (middle) row, ROC AUC column |
| Recorded configuration | not stated in tableBenchmarking genomic foundation models for binary classification of gene fusion breakpoints from DNA sequences · Table 2, NT / NN (middle) row, ROC AUC column |
| Model type | Not extracted or verified for this record. |
| Training data | Not extracted or verified for this record. |
| Context limits | Not extracted or verified for this record. |
| Access | Not extracted or verified for this record. |
| Code licence | Not extracted or verified for this record. |
| Weights licence | Not extracted or verified for this record. |
How it works
Recorded evaluation
The imported evaluation describes this procedure: middle embedding with neural-network classifier
Benchmarking genomic foundation models for binary classification of gene fusion breakpoints from DNA sequences · Table 2, NT / NN (middle) row, ROC AUC columnBenchmarks and results
Release 2026-09-16-d74d282221a9 · 1 evaluation · 1 metric row. Different protocols are not a single leaderboard.
| Metric and finding | Coverage and uncertainty | Evidence |
|---|---|---|
| Nucleotide Transformer + NN (middle): gene fusion breakpoint classification Model: Nucleotide Transformer + NN (middle) · Benchmark: gene fusion breakpoint classification · Dataset: gene fusion breakpoint DNA sequences middle embedding with neural-network classifier Independent external evaluation · Evaluation metadata: needs review | ||
| 0.994 ROC AUC Unit: fraction · Direction: unknown | Uncertainty: not reported in legacy extract Scored: Not reported · Eligible: Not reported | source checkedBenchmarking genomic foundation models for binary classification of gene fusion breakpoints from DNA sequences · Table 2, NT / NN (middle) row, ROC AUC column Source checking is not independent reproduction. |
Strengths and limitations
Limitations and conditions
- This is an evidence-limited profile. The recorded evaluation context does not establish performance on other datasets or configurations.Benchmarking genomic foundation models for binary classification of gene fusion breakpoints from DNA sequences · Table 2, NT / NN (middle) row, ROC AUC column
Profile review details
Reviewed the existing release record, its source pointer and linked evaluation context. This is not a fresh full-text architecture review or independent reproduction; numerical review status is unchanged.
Stable record: reported-model-1a67087ac262c5Sources and history
Release 2026-09-16-d74d282221a9 · Record review: needs review
- Benchmarking genomic foundation models for binary classification of gene fusion breakpoints from DNA sequences · Original source · journal full text in PMC
Technical metadata and extraction receipts
Stable ID: reported-model-1a67087ac262c5
- areas
- dna-genomes
- entity level
- method
- version
- not stated in table
- reported name
- Nucleotide Transformer + NN (middle)
- missing metadata
- checkpoint revision: not_reported_in_legacy_extract; training data: not_reported_in_legacy_extract; licence: not_reported_in_legacy_extract