Genomics

EnhancerFinder

EnhancerFinder is a SYNTHETIC/DEMO genomics model for regulatory enhancer prediction. Outputs are deterministic demo values — NOT for clinical use. Trained (synthetically) on de-identified sequence data.

Sequence Helix Diagnostics License: Apache-2.0 v1.3.8 RTG 4.9 DL 74,745
SYNTHETIC DEMOAll outputs are deterministic demo data — not for clinical use, not real medical inference.

Metrics

MetricValueSplit
AUPRC0.943Synthetic hold-out
Calibration (ECE)0.074Synthetic
InputsOutputs
DNA sequenceEnhancer probability

Run a synthetic prediction

Returns a deterministic synthetic result — clearly labeled, not for clinical use.

API integration

Call this model from your pipeline (demo — no real key required):

import requests
r = requests.post("https://api.biofoundry.ai/v1/models/bf-029-enhancerfinder/predict",
    headers={"Authorization": "Bearer <API_KEY>"},
    json={"input": "<dna sequence>"})
print(r.json())  # -> synthetic demo prediction

See the API reference · JSON: /api/models/bf-029-enhancerfinder

Version history

VersionStatusNotes
v1.3.0ArchivedSynthetic release note 0
v1.3.1ArchivedSynthetic release note 1
v1.3.2ArchivedSynthetic release note 2
v1.3.3ArchivedSynthetic release note 3
v1.3.4ArchivedSynthetic release note 4
v1.3.5ArchivedSynthetic release note 5
v1.3.6ArchivedSynthetic release note 6
v1.3.7ArchivedSynthetic release note 7
v1.3.8CurrentSynthetic release note 8

Community contributions: 34 synthetic contributors have submitted evaluations and fine-tunes.