method
active
method:evee-variant-effect-prediction-methodEvee variant effect prediction method
The method that predicts and explains variant pathogenicity using Evo 2, producing disruption profiles.
Neighborhood — ranked by edge-count
Papers (1)
paper
Frameworks (1)
framework
- Evo-2implementsGenomic foundation model used to predict and explain variant pathogenicity.
Concepts (1)
concept
- disruption profileimplementsThe output explanation format of Evee, quantifying how a variant disrupts different genomic features.
Artifacts (1)
artifact
- Evee tool (evee.goodfire.ai)implementsThe publicly accessible web tool for running Evee predictions on genetic variants.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Interpretive claim supported by the high AUROC findings.
- Core interpretability claim distinguishing EVEE from black-box prediction tools; applies interpretability for science.
- Scale claim, demonstrating whole-genome applicability.
- Core task of predicting whether genetic variants cause disease, central to clinical genomics.
- Motivating claim that mechanistic explanations add clinical value for VUS.
- Genetic variants whose clinical impact is unknown; a key motivation for the work, ~2M of which are explained.
- Related Goodfire research from which covariance pooling emerged as methodological byproduct.
- The phenomenon where naive or vulnerable users perceive dialogue agents as having human-like desires and feelings, putting them at risk of emotional manipulation