Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
- Teacher spread
- 0.248 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
No abstract. This is not a gap in this database — OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
The record
- Venue
- Nature Genetics
- Topic
- Genetic Associations and Epidemiology
- Field
- Biochemistry, Genetics and Molecular Biology
- Canadian institutions
- —
- Funders
- National Institute of Allergy and Infectious DiseasesNational Human Genome Research InstituteNational Institute of General Medical SciencesCanadian Institute for Advanced ResearchNational Heart, Lung, and Blood InstitutePrinceton University
- Keywords
- BiologyIn silicoGeneticsComputational biologyHuman genomeGeneMutationDNA microarrayGenomeGene expression
- Has abstract in OpenAlex
- no