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Configuration

Enformer (GTEx whole-blood expression prediction)

Enformer (GTEx whole-blood expression prediction): Enformer final hidden state, mean-pooled over all regions, computed per phased allele and the two allele embeddings averaged; Supervised random forest regressor fitted per gene.

1 evaluation · 2 results

Overview

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Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.

Evaluations and results

1 evaluation · 2 results. Different protocols are not a single leaderboard.

Protocol: Feng GTEx whole-blood expression prediction, 768 genes, long input · Dataset: Feng GTEx v8 whole-blood expression, TSS +/- 98 kb, 768 genes

Sorted by MSE (mean across genes of per-gene MSE of covariate-corrected expression) (lower is better). The best value in each column is highlighted. Decimals are rounded for display; each value links to the printed value and its source.

Tested configurationMSE (mean across genes of per-gene MSE of covariate-corrected expression)Pearson (mean across genes of per-gene Pearson correlation between predicted and observed expression)
Enformer (GTEx whole-blood expression prediction)Evaluation0.2270.129
All 2 result rows with coverage, uncertainty and sources
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Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: Enformer (GTEx whole-blood expression prediction)Protocol: Feng GTEx whole-blood expression prediction, 768 genes, long input
Dataset: Feng GTEx v8 whole-blood expression, TSS +/- 98 kb, 768 genes
0.227 MSE (mean across genes of per-gene MSE of covariate-corrected expression)
unit-unreported · lower

Uncertainty: Not reported by the source: Table 4 prints averages only; per-gene spread is shown only as a histogram (Fig. 3).

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Enformer GTEx whole-blood expression evaluation

Table 4, frozen embeddings + per-gene random forest regression

Aggregation: Not reported

Benchmarking DNA foundation models for genomic and genetic tasks · Table 4, row 'Enformer*', column 'Average Prediction MSE'
Configuration: Enformer (GTEx whole-blood expression prediction)Protocol: Feng GTEx whole-blood expression prediction, 768 genes, long input
Dataset: Feng GTEx v8 whole-blood expression, TSS +/- 98 kb, 768 genes
0.129 Pearson (mean across genes of per-gene Pearson correlation between predicted and observed expression)
unitless · higher

Uncertainty: Not reported by the source: Table 4 prints averages only; per-gene spread is shown only as a histogram (Fig. 3).

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Enformer GTEx whole-blood expression evaluation

Table 4, frozen embeddings + per-gene random forest regression

Aggregation: Not reported

Benchmarking DNA foundation models for genomic and genetic tasks · Table 4, row 'Enformer*', column 'Average Prediction Correlation'

Source checking is not independent reproduction. Release 2026-11-02-a7f03c9e55a5.

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Evidence

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Evidence table

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Claims, original sources and review scope · Release 2026-11-02-a7f03c9e55a5
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Sources and history

Release 2026-11-02-a7f03c9e55a5 · Record review: source checked

1 source record and release historyDownload this release (gzip)
Technical metadata and extraction receipts

Stable ID: feng-dna-fm-20261013-config-gtex-enformer

areas
dna-genomes
contexts
research
method types
supervised_machine_learning
foundation model eligible
false
head
Supervised random forest regressor fitted per gene
reported name
Enformer*
task
GTEx whole-blood gene expression prediction
representation
Enformer final hidden state, mean-pooled over all regions, computed per phased allele and the two allele embeddings averaged (Methods, Gene expression prediction benchmark).
limitations
Input length printed as '196K bp'.; Printed with an asterisk; Enformer is a supervised sequence-to-expression model used as a comparator, not one of the paper's DNA foundation models. Official PyTorch implementation (Methods).
missing metadata
actual input bp: reason: unreported; note: Printed as '196K bp'; the exact base-pair count is not printed in Table 4.; head revision: reason: unextracted; version: reason: unreported; note: Immutable checkpoint revision is not stated in the article.
provenance note
Enformer* (GTEx whole-blood expression prediction); Feng et al. 2025 source-reported, task-scoped configuration.
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